Year |
Citation |
Score |
2020 |
Kejriwal M. A Robust Sequential Procedure for Estimating the Number of Structural Changes in Persistence Oxford Bulletin of Economics and Statistics. 82: 669-685. DOI: 10.1111/Obes.12348 |
0.591 |
|
2020 |
Kejriwal M, Yu X, Perron P. Bootstrap Procedures for Detecting Multiple Persistence Shifts in Heteroskedastic Time Series Journal of Time Series Analysis. 41: 676-690. DOI: 10.1111/Jtsa.12528 |
0.635 |
|
2020 |
Kejriwal M, Yu X. Generalized Forecasr Averaging in Autoregressions with a Near Unit Root Econometrics Journal. DOI: 10.1093/Ectj/Utaa006 |
0.423 |
|
2020 |
Kejriwal M, Li X, Totty E. Multidimensional Skills and the Returns to Schooling: Evidence from an Interactive Fixed Effects Approach and a Linked Survey‐Administrative Dataset Journal of Applied Econometrics. 35: 548-566. DOI: 10.1002/Jae.2759 |
0.342 |
|
2014 |
Ghoshray A, Kejriwal M, Wohar M. Breaks, trends and unit roots in commodity prices: A robust investigation Studies in Nonlinear Dynamics and Econometrics. 18: 23-40. DOI: 10.1515/Snde-2013-0022 |
0.477 |
|
2014 |
Gulesserian SG, Kejriwal M. On the power of bootstrap tests for stationarity: A Monte Carlo comparison Empirical Economics. 46: 973-998. DOI: 10.1007/S00181-013-0711-8 |
0.495 |
|
2013 |
Kejriwal M, Lopez C. Unit Roots, Level Shifts, and Trend Breaks in Per Capita Output: A Robust Evaluation Econometric Reviews. 32: 892-927. DOI: 10.2139/Ssrn.1549852 |
0.495 |
|
2013 |
Kejriwal M, Perron P, Zhou J. Wald tests for detecting multiple structural changes in persistence Econometric Theory. 29: 289-323. DOI: 10.1017/S0266466612000357 |
0.648 |
|
2012 |
Kejriwal M, Perron P. A note on estimating a structural change in persistence Economics Letters. 117: 932-935. DOI: 10.1016/J.Econlet.2012.07.020 |
0.598 |
|
2010 |
Kejriwal M, Perron P. Testing for multiple structural changes in cointegrated regression models Journal of Business and Economic Statistics. 28: 503-522. DOI: 10.1198/Jbes.2009.07220 |
0.644 |
|
2010 |
Kejriwal M, Perron P. A sequential procedure to determine the number of breaks in trend with an integrated or stationary noise component Journal of Time Series Analysis. 31: 305-328. DOI: 10.1111/J.1467-9892.2010.00666.X |
0.627 |
|
2009 |
Kejriwal M. Tests for a mean shift with good size and monotonic power Economics Letters. 102: 78-82. DOI: 10.1016/J.Econlet.2008.11.013 |
0.47 |
|
2008 |
Kejriwal M. Cointegration with structural breaks: An application to the Feldstein-Horioka puzzle Studies in Nonlinear Dynamics and Econometrics. 12. DOI: 10.2202/1558-3708.1467 |
0.417 |
|
2008 |
Kejriwal M, Perron P. Data dependent rules for selection of the number of leads and lags in the dynamic OLS cointegrating regression Econometric Theory. 24: 1425-1441. DOI: 10.1017/S0266466608080560 |
0.603 |
|
2008 |
Kejriwal M, Perron P. The limit distribution of the estimates in cointegrated regression models with multiple structural changes Journal of Econometrics. 146: 59-73. DOI: 10.1016/J.Jeconom.2008.07.001 |
0.633 |
|
Low-probability matches (unlikely to be authored by this person) |
2014 |
Tian A, Kejriwal M, Miranker DP. Schema matching over relations, attributes, and data values Acm International Conference Proceeding Series. DOI: 10.1145/2618243 |
0.197 |
|
2014 |
Kejriwal M, Miranker DP. On linking heterogeneous dataset collections Ceur Workshop Proceedings. 1272: 217-220. |
0.171 |
|
2014 |
Kejriwal M, Miranker DP. A two-step blocking scheme learner for scalable link discovery Ceur Workshop Proceedings. 1317: 49-60. |
0.163 |
|
2015 |
Kejriwal M, Miranker DP. Decision-making bias in instance matching model selection Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9366: 392-407. DOI: 10.1007/978-3-319-25007-6_23 |
0.163 |
|
2015 |
Kejriwal M, Miranker DP. An unsupervised instance matcher for schema-free RDF data Journal of Web Semantics. 35: 102-123. DOI: 10.1016/J.Websem.2015.07.002 |
0.157 |
|
2014 |
Kejriwal M. Populating entity name systems for big data integration Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8797: 521-528. |
0.157 |
|
2015 |
Kejriwal M, Miranker DP. Sorted neighborhood for schema-free RDF data Ceur Workshop Proceedings. 1365. DOI: 10.1007/978-3-319-25639-9_38 |
0.157 |
|
2013 |
Kejriwal M, Miranker DP. An unsupervised algorithm for learning blocking schemes Proceedings - Ieee International Conference On Data Mining, Icdm. 340-349. DOI: 10.1109/ICDM.2013.60 |
0.15 |
|
2015 |
Kejriwal M, Miranker DP. Semi-supervised instance matching using boosted classifiers Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9088: 388-402. DOI: 10.1007/978-3-319-18818-8_24 |
0.127 |
|
2015 |
Kejriwal M, Miranker DP. Minimally supervised instance matching: An alternate approach Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9341: 72-76. DOI: 10.1007/978-3-319-25639-9_14 |
0.119 |
|
2015 |
Kejriwal M, Liu Q, Jacob F, Javed F. A pipeline for extracting and deduplicating domain-specific knowledge bases Proceedings - 2015 Ieee International Conference On Big Data, Ieee Big Data 2015. 1144-1153. DOI: 10.1109/BigData.2015.7363868 |
0.117 |
|
2015 |
Kejriwal M, Miranker DP. Sorted Neighborhood for the semantic web Proceedings of the National Conference On Artificial Intelligence. 6: 4174-4175. |
0.108 |
|
2012 |
Diesendruck L, Marini L, Kooper R, Kejriwal M, McHenry K. A framework to access handwritten information within large digitized paper collections 2012 Ieee 8th International Conference On E-Science, E-Science 2012. DOI: 10.1109/eScience.2012.6404434 |
0.1 |
|
2015 |
Kejriwal M. Entity resolution in a big data framework Proceedings of the National Conference On Artificial Intelligence. 6: 4243-4244. |
0.079 |
|
2012 |
Diesendruck L, Marini L, Kooper R, Kejriwal M, McHenry K. Digitization and search: A non-traditional use of HPC Proceedings - 2012 Sc Companion: High Performance Computing, Networking Storage and Analysis, Scc 2012. 1460-1462. DOI: 10.1109/SC.Companion.2012.259 |
0.049 |
|
2013 |
Zhou Z, Kejriwal M, Miikkulainen R. Extended scaled neural predictor for improved branch prediction Proceedings of the International Joint Conference On Neural Networks. DOI: 10.1109/IJCNN.2013.6707059 |
0.01 |
|
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