| Year |
Citation |
Score |
| 2020 |
Berry LR, Helman P, West M. Probabilistic forecasting of heterogeneous consumer transaction–sales time series International Journal of Forecasting. 36: 552-569. DOI: 10.1016/J.Ijforecast.2019.07.007 |
0.349 |
|
| 2020 |
West M. Bayesian forecasting of multivariate time series: scalability, structure uncertainty and decisions Annals of the Institute of Statistical Mathematics. 72: 1-31. DOI: 10.1007/S10463-019-00741-3 |
0.371 |
|
| 2019 |
Crawford L, Flaxman SR, Runcie DE, West M. VARIABLE PRIORITIZATION IN NONLINEAR BLACK BOX METHODS: A GENETIC ASSOCIATION CASE STUDY. The Annals of Applied Statistics. 13: 958-989. PMID 32542104 DOI: 10.1214/18-Aoas1222 |
0.317 |
|
| 2019 |
Irie K, West M. Bayesian Emulation for Multi-Step Optimization in Decision Problems Bayesian Analysis. 14: 137-160. DOI: 10.1214/18-Ba1105 |
0.321 |
|
| 2019 |
Berry LR, West M. Bayesian Forecasting of Many Count-Valued Time Series Journal of Business & Economic Statistics. 1-15. DOI: 10.1080/07350015.2019.1604372 |
0.358 |
|
| 2019 |
Chen X, Banks D, West M. Bayesian dynamic modeling and monitoring of network flows Network Science. 7: 292-318. DOI: 10.1017/Nws.2019.10 |
0.325 |
|
| 2019 |
McAlinn K, West M. Dynamic Bayesian predictive synthesis in time series forecasting Journal of Econometrics. 210: 155-169. DOI: 10.1016/J.Jeconom.2018.11.010 |
0.356 |
|
| 2018 |
Chen X, Irie K, Banks D, Haslinger R, Thomas J, West M. Scalable Bayesian Modeling, Monitoring, and Analysis of Dynamic Network Flow Data Journal of the American Statistical Association. 113: 519-533. DOI: 10.1080/01621459.2017.1345742 |
0.337 |
|
| 2017 |
Gruber LF, West M. Bayesian online variable selection and scalable multivariate volatility forecasting in simultaneous graphical dynamic linear models Econometrics and Statistics. 3: 3-22. DOI: 10.1016/J.Ecosta.2017.03.003 |
0.363 |
|
| 2016 |
Gruber L, West M. GPU-accelerated Bayesian learning and forecasting in simultaneous graphical dynamic linear models Bayesian Analysis. 11: 125-149. DOI: 10.1214/15-Ba946 |
0.388 |
|
| 2016 |
Zhao Z, Xie M, West M. Rejoinder to 'Dynamic dependence networks: Financial time series forecasting and portfolio decisions' Applied Stochastic Models in Business and Industry. 32: 336-339. DOI: 10.1002/Asmb.2169 |
0.493 |
|
| 2016 |
Zhao ZY, Xie M, West M. Dynamic dependence networks: Financial time series forecasting and portfolio decisions Applied Stochastic Models in Business and Industry. DOI: 10.1002/Asmb.2161 |
0.591 |
|
| 2015 |
Lin L, Chan C, West M. Discriminative variable subsets in Bayesian classification with mixture models, with application in flow cytometry studies. Biostatistics (Oxford, England). PMID 26040910 DOI: 10.1093/Biostatistics/Kxv021 |
0.382 |
|
| 2015 |
Bonassi FV, West M. Sequential Monte Carlo with Adaptive Weights for Approximate Bayesian Computation Bayesian Analysis. 10: 171-187. DOI: 10.1214/14-Ba891 |
0.781 |
|
| 2015 |
Nakajima J, West M. Dynamic network signal processing using latent threshold models Digital Signal Processing: a Review Journal. 47: 5-16. DOI: 10.1016/J.Dsp.2015.04.008 |
0.341 |
|
| 2014 |
Aasi J, Abbott BP, Abbott R, Abbott T, Abernathy MR, Acernese F, Ackley K, Adams C, Adams T, Addesso P, Adhikari RX, Affeldt C, Agathos M, Aggarwal N, Aguiar OD, ... ... West M, et al. Search for gravitational waves associated with γ-ray bursts detected by the interplanetary network. Physical Review Letters. 113: 011102. PMID 25032916 DOI: 10.1103/Physrevlett.113.011102 |
0.41 |
|
| 2014 |
Zhou X, Nakajima J, West M. Bayesian forecasting and portfolio decisions using dynamic dependent sparse factor models International Journal of Forecasting. 30: 963-980. DOI: 10.1016/J.Ijforecast.2014.03.017 |
0.353 |
|
| 2014 |
Mukherjee C, Kasibhatla PS, West M. Spatially varying SAR models and Bayesian inference for high-resolution lattice data Annals of the Institute of Statistical Mathematics. 66: 473-494. DOI: 10.1007/S10463-013-0426-9 |
0.617 |
|
| 2013 |
Cron A, Gouttefangeas C, Frelinger J, Lin L, Singh SK, Britten CM, Welters MJ, van der Burg SH, West M, Chan C. Hierarchical modeling for rare event detection and cell subset alignment across flow cytometry samples. Plos Computational Biology. 9: e1003130. PMID 23874174 DOI: 10.1371/Journal.Pcbi.1003130 |
0.734 |
|
| 2013 |
Lin L, Chan C, Hadrup SR, Froesig TM, Wang Q, West M. Hierarchical Bayesian mixture modelling for antigen-specific T-cell subtyping in combinatorially encoded flow cytometry studies. Statistical Applications in Genetics and Molecular Biology. 12: 309-31. PMID 23629459 DOI: 10.1515/Sagmb-2012-0001 |
0.359 |
|
| 2013 |
Cron A, Gouttefangeas C, Frelinger J, Lin L, Singh SK, Britten CM, Welters MJP, Burg SHvd, West M, Chan C. Comparison of accuracy, reproducibility and linearity of manual gating, DPGMM and HDPGMM. Plos Computational Biology. DOI: 10.1371/Journal.Pcbi.1003130.G007 |
0.706 |
|
| 2013 |
Nakajima J, West M. Bayesian Analysis of Latent Threshold Dynamic Models Journal of Business and Economic Statistics. 31: 151-164. DOI: 10.1080/07350015.2012.747847 |
0.368 |
|
| 2012 |
Nakajima J, West M. Dynamic factor volatility modeling: A bayesian latent threshold approach Journal of Financial Econometrics. 11: 116-153. DOI: 10.1093/Jjfinec/Nbs013 |
0.367 |
|
| 2012 |
Manolopoulou I, Matheu MP, Cahalan MD, West M, Kepler TB. Bayesian spatio-dynamic modeling in cell motility studies: Learning nonlinear taxic fields guiding the immune response Journal of the American Statistical Association. 107: 855-865. DOI: 10.1080/01621459.2012.655995 |
0.307 |
|
| 2011 |
Bonassi FV, You L, West M. Bayesian learning from marginal data in bionetwork models. Statistical Applications in Genetics and Molecular Biology. 10. PMID 23089812 DOI: 10.2202/1544-6115.1684 |
0.786 |
|
| 2011 |
Hallen M, Li B, Tanouchi Y, Tan C, West M, You L. Computation of steady-state probability distributions in stochastic models of cellular networks. Plos Computational Biology. 7: e1002209. PMID 22022252 DOI: 10.1371/Journal.Pcbi.1002209 |
0.337 |
|
| 2011 |
Cron AJ, West M. Efficient Classification-Based Relabeling in Mixture Models. The American Statistician. 65: 16-20. PMID 21660126 DOI: 10.1198/Tast.2011.10170 |
0.756 |
|
| 2011 |
Mukherjee C, Kasibhatla PS, West M. Bayesian statistical modeling of spatially correlated error structure in atmospheric tracer inverse analysis Atmospheric Chemistry and Physics. 11: 5365-5382. DOI: 10.5194/Acp-11-5365-2011 |
0.613 |
|
| 2010 |
Suchard MA, Wang Q, Chan C, Frelinger J, Cron A, West M. Understanding GPU Programming for Statistical Computation: Studies in Massively Parallel Massive Mixtures. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 19: 419-438. PMID 20877443 DOI: 10.1198/Jcgs.2010.10016 |
0.759 |
|
| 2010 |
Manolopoulou I, Chan C, West M. Selection Sampling from Large Data Sets for Targeted Inference in Mixture Modeling. Bayesian Analysis (Online). 5: 1-22. PMID 20865145 DOI: 10.1214/10-Ba517 |
0.365 |
|
| 2010 |
Niemi J, West M. Adaptive Mixture Modelling Metropolis Methods for Bayesian Analysis of Non-linear State-Space Models. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 19: 260-280. PMID 20563281 DOI: 10.1198/Jcgs.2010.08117 |
0.691 |
|
| 2010 |
Wang Q, Niemi J, Tan CM, You L, West M. Image segmentation and dynamic lineage analysis in single-cell fluorescence microscopy. Cytometry. Part a : the Journal of the International Society For Analytical Cytology. 77: 101-10. PMID 19845017 DOI: 10.1002/Cyto.A.20812 |
0.669 |
|
| 2009 |
Wang H, West M. Bayesian analysis of matrix normal graphical models. Biometrika. 96: 821-834. PMID 22822246 DOI: 10.1093/Biomet/Asp049 |
0.364 |
|
| 2009 |
Ji C, Merl D, Kepler TB, West M. Spatial Mixture Modelling for Unobserved Point Processes: Examples in Immunofluorescence Histology. Bayesian Analysis (Online). 4: 297-316. PMID 21037943 DOI: 10.1214/09-Ba411 |
0.55 |
|
| 2009 |
Merl D, Chen JL, Chi JT, West M. AN INTEGRATIVE ANALYSIS OF CANCER GENE EXPRESSION STUDIES USING BAYESIAN LATENT FACTOR MODELING. The Annals of Applied Statistics. 3: 1675-1694. PMID 20953268 DOI: 10.1214/09-Aoas261 |
0.361 |
|
| 2009 |
Chang JT, Carvalho C, Mori S, Bild AH, Gatza ML, Wang Q, Lucas JE, Potti A, Febbo PG, West M, Nevins JR. A genomic strategy to elucidate modules of oncogenic pathway signaling networks. Molecular Cell. 34: 104-14. PMID 19362539 DOI: 10.1016/J.Molcel.2009.02.030 |
0.69 |
|
| 2009 |
Lucas JE, Carvalho CM, Chen JL, Chi JT, West M. Cross-study projections of genomic biomarkers: an evaluation in cancer genomics. Plos One. 4: e4523. PMID 19225561 DOI: 10.1371/Journal.Pone.0004523 |
0.7 |
|
| 2009 |
Lucas J, Carvalho C, West M. A bayesian analysis strategy for cross-study translation of gene expression biomarkers. Statistical Applications in Genetics and Molecular Biology. 8: Article 11. PMID 19222378 DOI: 10.2202/1544-6115.1436 |
0.718 |
|
| 2009 |
Liu F, West M. A dynamic modelling strategy for bayesian computer model emulation Bayesian Analysis. 4: 393-412. DOI: 10.1214/09-Ba415 |
0.408 |
|
| 2008 |
Carvalho CM, Chang J, Lucas JE, Nevins JR, Wang Q, West M. High-Dimensional Sparse Factor Modeling: Applications in Gene Expression Genomics. Journal of the American Statistical Association. 103: 1438-1456. PMID 21218139 DOI: 10.1198/016214508000000869 |
0.744 |
|
| 2008 |
Chen JL, Lucas JE, Schroeder T, Mori S, Wu J, Nevins J, Dewhirst M, West M, Chi JT. The genomic analysis of lactic acidosis and acidosis response in human cancers. Plos Genetics. 4: e1000293. PMID 19057672 DOI: 10.1371/Journal.Pgen.1000293 |
0.6 |
|
| 2008 |
Clarke J, West M. Bayesian Weibull tree models for survival analysis of clinico-genomic data. Statistical Methodology. 5: 238-262. PMID 18618012 DOI: 10.1016/J.Stamet.2007.09.003 |
0.363 |
|
| 2008 |
Chan C, Feng F, Ottinger J, Foster D, West M, Kepler TB. Statistical mixture modeling for cell subtype identification in flow cytometry. Cytometry. Part a : the Journal of the International Society For Analytical Cytology. 73: 693-701. PMID 18496851 DOI: 10.1002/Cyto.A.20583 |
0.321 |
|
| 2008 |
Xu M, Kao MC, Nunez-Iglesias J, Nevins JR, West M, Zhou XJ. An integrative approach to characterize disease-specific pathways and their coordination: a case study in cancer. Bmc Genomics. 9: S12. PMID 18366601 DOI: 10.1186/1471-2164-9-S1-S12 |
0.327 |
|
| 2007 |
Liang F, Mukherjee S, West M. The use of unlabeled data in predictive modeling Statistical Science. 22: 189-205. DOI: 10.1214/088342307000000032 |
0.364 |
|
| 2007 |
Carvalho CM, West M. Dynamic matrix-variate graphical models Bayesian Analysis. 2: 69-98. DOI: 10.1214/07-Ba204 |
0.612 |
|
| 2007 |
Seo DM, Goldschmidt-Clermont PJ, West M. Of mice and men: Sparse statistical modeling in cardiovascular genomics The Annals of Applied Statistics. 1: 152-178. DOI: 10.1214/07-Aoas110 |
0.393 |
|
| 2007 |
Wu Y, Tjelmeland H, West M. Bayesian CART: Prior specification and posterior simulation Journal of Computational and Graphical Statistics. 16: 44-66. DOI: 10.1198/106186007X180426 |
0.586 |
|
| 2007 |
Hans C, Dobra A, West M. Shotgun stochastic search for "large p" regression Journal of the American Statistical Association. 102: 507-516. DOI: 10.1198/016214507000000121 |
0.791 |
|
| 2007 |
Carvalho CM, Massam H, West M. Simulation of hyper-inverse Wishart distributions in graphical models Biometrika. 94: 647-659. DOI: 10.1093/Biomet/Asm056 |
0.593 |
|
| 2006 |
Lancaster JM, Dressman HK, Clarke JP, Sayer RA, Martino MA, Cragun JM, Henriott AH, Gray J, Sutphen R, Elahi A, Whitaker RS, West M, Marks JR, Nevins JR, Berchuck A. Identification of genes associated with ovarian cancer metastasis using microarray expression analysis. International Journal of Gynecological Cancer : Official Journal of the International Gynecological Cancer Society. 16: 1733-45. PMID 17009964 DOI: 10.1111/J.1525-1438.2006.00660.X |
0.322 |
|
| 2006 |
Cheng SH, Horng CF, West M, Huang E, Pittman J, Tsou MH, Dressman H, Chen CM, Tsai SY, Jian JJ, Liu MC, Nevins JR, Huang AT. Genomic prediction of locoregional recurrence after mastectomy in breast cancer. Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology. 24: 4594-602. PMID 17008701 DOI: 10.1200/Jco.2005.02.5676 |
0.342 |
|
| 2006 |
West M, Ginsburg GS, Huang AT, Nevins JR. Embracing the complexity of genomic data for personalized medicine. Genome Research. 16: 559-66. PMID 16651662 DOI: 10.1101/Gr.3851306 |
0.304 |
|
| 2006 |
Dressman HK, Hans C, Bild A, Olson JA, Rosen E, Marcom PK, Liotcheva VB, Jones EL, Vujaskovic Z, Marks J, Dewhirst MW, West M, Nevins JR, Blackwell K. Gene expression profiles of multiple breast cancer phenotypes and response to neoadjuvant chemotherapy. Clinical Cancer Research : An Official Journal of the American Association For Cancer Research. 12: 819-26. PMID 16467094 DOI: 10.1158/1078-0432.Ccr-05-1447 |
0.749 |
|
| 2006 |
Bild AH, Yao G, Chang JT, Wang Q, Potti A, Chasse D, Joshi MB, Harpole D, Lancaster JM, Berchuck A, Olson JA, Marks JR, Dressman HK, West M, Nevins JR. Oncogenic pathway signatures in human cancers as a guide to targeted therapies. Nature. 439: 353-7. PMID 16273092 DOI: 10.1038/Nature04296 |
0.314 |
|
| 2006 |
Ferreira MAR, West M, Lee HKH, Higdon DM. Multi-scale and hidden resolution time series models Bayesian Analysis. 1: 947-968. DOI: 10.1214/06-Ba131 |
0.367 |
|
| 2006 |
Dobra A, Tebaldi C, West M. Data augmentation in multi-way contingency tables with fixed marginal totals Journal of Statistical Planning and Inference. 136: 355-372. DOI: 10.1016/J.Jspi.2004.07.002 |
0.368 |
|
| 2005 |
Petersen RP, Bild A, Dressman H, Joshi MM, Conlon DH, West M, Nevins JR, Harpole DH. Gene expression signatures for prognosis in NSCLC, coupled with signatures of oncogenic pathway deregulation, provide a novel approach for selection of molecular targets. Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology. 23: 7020. PMID 27944461 DOI: 10.1200/Jco.2005.23.16_Suppl.7020 |
0.316 |
|
| 2005 |
Rich JN, Hans C, Jones B, Iversen ES, McLendon RE, Rasheed BK, Dobra A, Dressman HK, Bigner DD, Nevins JR, West M. Gene expression profiling and genetic markers in glioblastoma survival. Cancer Research. 65: 4051-8. PMID 15899794 DOI: 10.1158/0008-5472.Can-04-3936 |
0.775 |
|
| 2005 |
Berchuck A, Iversen ES, Lancaster JM, Pittman J, Luo J, Lee P, Murphy S, Dressman HK, Febbo PG, West M, Nevins JR, Marks JR. Patterns of gene expression that characterize long-term survival in advanced stage serous ovarian cancers. Clinical Cancer Research : An Official Journal of the American Association For Cancer Research. 11: 3686-96. PMID 15897565 DOI: 10.1158/1078-0432.Ccr-04-2398 |
0.307 |
|
| 2005 |
Jones B, Carvalho C, Dobra A, Hans C, Carter C, West M. Experiments in stochastic computation for high-dimensional graphical models Statistical Science. 20: 388-400. DOI: 10.1214/088342305000000304 |
0.796 |
|
| 2005 |
Jones B, West M. Covariance decomposition in undirected Gaussian graphical models Biometrika. 92: 779-786. DOI: 10.1093/Biomet/92.4.779 |
0.322 |
|
| 2004 |
Pittman J, Huang E, Nevins J, Wang Q, West M. Bayesian analysis of binary prediction tree models for retrospectively sampled outcomes. Biostatistics (Oxford, England). 5: 587-601. PMID 15475421 DOI: 10.1093/Biostatistics/Kxh011 |
0.413 |
|
| 2004 |
Seo D, Wang T, Dressman H, Herderick EE, Iversen ES, Dong C, Vata K, Milano CA, Rigat F, Pittman J, Nevins JR, West M, Goldschmidt-Clermont PJ. Gene expression phenotypes of atherosclerosis. Arteriosclerosis, Thrombosis, and Vascular Biology. 24: 1922-7. PMID 15297278 DOI: 10.1161/01.Atv.0000141358.65242.1F |
0.713 |
|
| 2004 |
Pittman J, Huang E, Dressman H, Horng CF, Cheng SH, Tsou MH, Chen CM, Bild A, Iversen ES, Huang AT, Nevins JR, West M. Integrated modeling of clinical and gene expression information for personalized prediction of disease outcomes. Proceedings of the National Academy of Sciences of the United States of America. 101: 8431-6. PMID 15152076 DOI: 10.1073/Pnas.0401736101 |
0.367 |
|
| 2004 |
Berchuck A, Iversen ES, Lancaster JM, Dressman HK, West M, Nevins JR, Marks JR. Prediction of optimal versus suboptimal cytoreduction of advanced-stage serous ovarian cancer with the use of microarrays. American Journal of Obstetrics and Gynecology. 190: 910-25. PMID 15118612 DOI: 10.1016/J.Ajog.2004.02.005 |
0.315 |
|
| 2004 |
Godsill SJ, Doucet A, West M. Monte Carlo Smoothing for Nonlinear Time Series Journal of the American Statistical Association. 99: 156-168. DOI: 10.1198/016214504000000151 |
0.314 |
|
| 2004 |
Dobra A, Hans C, Jones B, Nevins JR, Yao G, West M. Sparse graphical models for exploring gene expression data Journal of Multivariate Analysis. 90: 196-212. DOI: 10.1016/J.Jmva.2004.02.009 |
0.787 |
|
| 2004 |
Lopes HF, West M. Bayesian model assessment in factor analysis Statistica Sinica. 14: 41-67. |
0.662 |
|
| 2003 |
Huang ES, Black EP, Dressman H, West M, Nevins JR. Gene expression phenotypes of oncogenic signaling pathways. Cell Cycle (Georgetown, Tex.). 2: 415-7. PMID 12963829 DOI: 10.4161/Cc.2.5.492 |
0.349 |
|
| 2003 |
Nevins JR, Huang ES, Dressman H, Pittman J, Huang AT, West M. Towards integrated clinico-genomic models for personalized medicine: combining gene expression signatures and clinical factors in breast cancer outcomes prediction. Human Molecular Genetics. 12: R153-7. PMID 12928487 DOI: 10.1093/Hmg/Ddg287 |
0.351 |
|
| 2003 |
Huang E, West M, Nevins JR. Gene expression profiling for prediction of clinical characteristics of breast cancer. Recent Progress in Hormone Research. 58: 55-73. PMID 12795414 DOI: 10.1210/Rp.58.1.55 |
0.345 |
|
| 2003 |
Huang E, Ishida S, Pittman J, Dressman H, Bild A, Kloos M, D'Amico M, Pestell RG, West M, Nevins JR. Gene expression phenotypic models that predict the activity of oncogenic pathways. Nature Genetics. 34: 226-30. PMID 12754511 DOI: 10.1038/Ng1167 |
0.35 |
|
| 2003 |
Huang E, Cheng SH, Dressman H, Pittman J, Tsou MH, Horng CF, Bild A, Iversen ES, Liao M, Chen CM, West M, Nevins JR, Huang AT. Gene expression predictors of breast cancer outcomes. Lancet (London, England). 361: 1590-6. PMID 12747878 DOI: 10.1016/S0140-6736(03)13308-9 |
0.513 |
|
| 2003 |
Huang E, Ishida S, Pittmann J, Dressman H, Bild A, Kloos M, D'Amico M, Pestell RG, West M, Nevins JR. Erratum: Gene expression phenotypic models that predict the activity of oncogenic pathways Nature Genetics. 34: 465-465. DOI: 10.1038/Ng0803-465 |
0.324 |
|
| 2002 |
Lee HKH, Higdon DM, Bi Z, Ferreira MAR, West M. Markov random field models for high-dimensional parameters in simulations of fluid flow in porous media Technometrics. 44: 230-241. DOI: 10.1198/004017002188618419 |
0.301 |
|
| 2002 |
Tebaldi C, West M, Karr AF. Statistical analyses of freeway traffic flows Journal of Forecasting. 21: 39-68. DOI: 10.1002/For.804 |
0.304 |
|
| 2001 |
West M, Blanchette C, Dressman H, Huang E, Ishida S, Spang R, Zuzan H, Olson JA, Marks JR, Nevins JR. Predicting the clinical status of human breast cancer by using gene expression profiles. Proceedings of the National Academy of Sciences of the United States of America. 98: 11462-7. PMID 11562467 DOI: 10.1073/Pnas.201162998 |
0.352 |
|
| 2001 |
Prado R, West M, Krystal AD. Multichannel electroencephalographic analyses via dynamic regression models with time-varying lag-lead structure Journal of the Royal Statistical Society. Series C: Applied Statistics. 50: 95-109. DOI: 10.1111/1467-9876.00222 |
0.372 |
|
| 2001 |
Godsill S, Doucet A, West M. Maximum a posteriori sequence estimation using Monte Carlo particle filters Annals of the Institute of Statistical Mathematics. 53: 82-96. DOI: 10.1023/A:1017968404964 |
0.301 |
|
| 2000 |
Aguilar O, West M. Bayesian dynamic factor models and portfolio allocation Journal of Business and Economic Statistics. 18: 338-357. DOI: 10.1080/07350015.2000.10524875 |
0.402 |
|
| 1999 |
Krystal AD, Prado R, West M. New methods of time series analysis of non-stationary EEG data: Eigenstructure decompositions of time varying autoregressions Clinical Neurophysiology. 110: 2197-2206. PMID 10616127 DOI: 10.1016/S1388-2457(99)00165-0 |
0.313 |
|
| 1999 |
Huerta G, West M. Bayesian inference on periodicities and component spectral structure in time series Journal of Time Series Analysis. 20: 401-416. DOI: 10.1111/1467-9892.00145 |
0.363 |
|
| 1999 |
Huerta G, West M. Priors and component structures in autoregressive time series models Journal of the Royal Statistical Society. Series B: Statistical Methodology. 61: 881-899. DOI: 10.1111/1467-9868.00208 |
0.395 |
|
| 1998 |
Tebaldi C, West M. Bayesian inference on network traffic using link count data Journal of the American Statistical Association. 93: 557-573. DOI: 10.1080/01621459.1998.10473707 |
0.316 |
|
| 1997 |
Vaziri H, West MD, Allsopp RC, Davison TS, Wu YS, Arrowsmith CH, Poirier GG, Benchimol S. ATM-dependent telomere loss in aging human diploid fibroblasts and DNA damage lead to the post-translational activation of p53 protein involving poly(ADP-ribose) polymerase. The Embo Journal. 16: 6018-33. PMID 9312059 DOI: 10.1093/Emboj/16.19.6018 |
0.39 |
|
| 1997 |
Müller P, West M, MacEachern S. Bayesian Models for Non‐linear Autoregressions Journal of Time Series Analysis. 18: 593-614. DOI: 10.1111/1467-9892.00070 |
0.386 |
|
| 1997 |
West M. Time series decomposition Biometrika. 84: 489-494. DOI: 10.1093/Biomet/84.2.489 |
0.339 |
|
| 1997 |
Cargnoni C, Müller P, West M. Bayesian Forecasting of Multinomial Time Series through Conditionally Gaussian Dynamic Models Journal of the American Statistical Association. 92: 640-647. DOI: 10.1080/01621459.1997.10474015 |
0.401 |
|
| 1997 |
West M. Hierarchical Mixture Models in Neurological Transmission Analysis Journal of the American Statistical Association. 92: 587-606. DOI: 10.1080/01621459.1997.10474011 |
0.331 |
|
| 1997 |
West M, Harrison J. Bayesian forecasting and dynamic models (2nd ed.) Journal of the Operational Research Society. 49: 179-180. DOI: 10.1057/Palgrave.Jors.2600494 |
0.31 |
|
| 1996 |
Cao G, West M. Practical Bayesian inference using mixtures of mixtures Biometrics. 52: 1334-1341. PMID 8962457 DOI: 10.2307/2532848 |
0.314 |
|
| 1996 |
Muller P, Erkanli A, West M. Bayesian curve fitting using multivariate normal mixtures Biometrika. 83: 67-79. DOI: 10.1093/Biomet/83.1.67 |
0.358 |
|
| 1996 |
West M. Inference in successive sampling discovery models Journal of Econometrics. 75: 217-238. DOI: 10.1016/0304-4076(95)01777-1 |
0.344 |
|
| 1995 |
West M. Bayesian Inference in Cyclical Component Dynamic Linear Models Journal of the American Statistical Association. 90: 1301-1312. DOI: 10.1080/01621459.1995.10476634 |
0.361 |
|
| 1995 |
Escobar MD, West M. Bayesian density estimation and inference using mixtures Journal of the American Statistical Association. 90: 577-588. DOI: 10.1080/01621459.1995.10476550 |
0.335 |
|
| 1993 |
Turner DA, West M. Bayesian analysis of mixtures applied to post-synaptic potential fluctuations. Journal of Neuroscience Methods. 47: 1-21. PMID 8321009 DOI: 10.1016/0165-0270(93)90017-L |
0.306 |
|
| 1992 |
Lavine M, West M. A Bayesian method for classification and discrimination Canadian Journal of Statistics-Revue Canadienne De Statistique. 20: 451-461. DOI: 10.2307/3315614 |
0.352 |
|
| 1992 |
West M. Modelling Agent Forecast Distributions Journal of the Royal Statistical Society Series B-Methodological. 54: 553-567. DOI: 10.1111/J.2517-6161.1992.Tb01896.X |
0.307 |
|
| 1991 |
Harrison J, West M. Dynamic linear model diagnostics Biometrika. 78: 797-808. DOI: 10.1093/Biomet/78.4.797 |
0.348 |
|
| 1991 |
West M, Winkler RL. Data base error trapping and prediction Journal of the American Statistical Association. 86: 987-996. DOI: 10.1080/01621459.1991.10475142 |
0.302 |
|
| 1990 |
Pole A, West M. Efficient bayesian learning in non‐linear dynamic models Journal of Forecasting. 9: 119-136. DOI: 10.1002/For.3980090205 |
0.352 |
|
| 1989 |
Pole A, West M. Reference Analysis Of The Dynamic Linear Model Journal of Time Series Analysis. 10: 131-147. DOI: 10.1111/J.1467-9892.1989.Tb00020.X |
0.346 |
|
| 1989 |
West M, Harrison J. Subjective intervention in formal models Journal of Forecasting. 8: 33-53. DOI: 10.1002/For.3980080104 |
0.307 |
|
| 1987 |
Quintana JM, West M. An analysis of international exchange rates using multivariate DLM's The Statistician. 36: 275-281. DOI: 10.2307/2348524 |
0.386 |
|
| 1987 |
Gamerman D, West M. An application of dynamic survival models in unemployment studies The Statistician. 36: 269-274. DOI: 10.2307/2348523 |
0.38 |
|
| 1986 |
West M. Bayesian model monitoring Journal of the Royal Statistical Society Series B-Methodological. 48: 70-78. DOI: 10.1111/J.2517-6161.1986.Tb01391.X |
0.312 |
|
| 1986 |
West M, Harrison PJ. Monitoring and Adaptation in Bayesian Forecasting Models Journal of the American Statistical Association. 81: 741-750. DOI: 10.1080/01621459.1986.10478331 |
0.365 |
|
| 1985 |
West M, Harrison PJ, Migon HS. Dynamic Generalized Linear Models and Bayesian Forecasting: Rejoinder Journal of the American Statistical Association. 80: 96. DOI: 10.2307/2288050 |
0.328 |
|
| 1985 |
West M, Harrison PJ, Migon HS. Dynamic Generalized Linear Models and Bayesian Forecasting Journal of the American Statistical Association. 80: 73-83. DOI: 10.1080/01621459.1985.10477131 |
0.39 |
|
| 1984 |
West M. Outlier Models and Prior Distributions in Bayesian Linear Regression Journal of the Royal Statistical Society Series B-Methodological. 46: 431-439. DOI: 10.1111/J.2517-6161.1984.Tb01317.X |
0.324 |
|
| 1981 |
West M. Robust Sequential Approximate Bayesian Estimation Journal of the Royal Statistical Society Series B-Methodological. 43: 157-166. DOI: 10.1111/J.2517-6161.1981.Tb01165.X |
0.348 |
|
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