Year |
Citation |
Score |
2020 |
Balakrishna N, Kim J, Koul HL. Lack-of-fit of a parametric measurement error AR(1) model Statistics & Probability Letters. 166: 108872. DOI: 10.1016/J.Spl.2020.108872 |
0.541 |
|
2020 |
Koul HL, Li F. Comparing two nonparametric regression curves in the presence of long memory in covariates and errors Metrika. 83: 499-517. DOI: 10.1007/S00184-019-00735-4 |
0.532 |
|
2019 |
Koul HL, Xie C, Zhu L. An Adaptive-to-Model Test for Parametric Single-Index Errors-in-Variables Models Statistica Sinica. DOI: 10.5705/Ss.202017.0248 |
0.464 |
|
2019 |
Koul HL, Surgailis D. Asymptotic Distribution of the Bias Corrected Least Squares Estimators in Measurement Error Linear Regression Models Under Long Memory Journal of Time Series Analysis. 40: 493-518. DOI: 10.1111/Jtsa.12451 |
0.545 |
|
2019 |
Geng P, Koul HL. Minimum distance model checking in Berkson measurement error models with validation data Test. 28: 879-899. DOI: 10.1007/S11749-018-0610-6 |
0.615 |
|
2018 |
Koul HL, Song W, Zhu X. Goodness-of-fit testing of error distribution in linear measurement error models The Annals of Statistics. 46: 2479-2510. DOI: 10.1214/17-Aos1627 |
0.649 |
|
2018 |
Koul HL, Surgailis D. Asymptotic Distributions of Some Scale Estimators in Nonlinear Models With Long Memory Errors Having Infinite Variance Journal of Time Series Analysis. 39: 273-298. DOI: 10.1111/Jtsa.12265 |
0.571 |
|
2017 |
Balakrishna N, Koul HL. Varying kernel marginal density estimator for a positive time series Journal of Nonparametric Statistics. 29: 531-552. DOI: 10.1080/10485252.2017.1324968 |
0.494 |
|
2017 |
Koul HL, Vellaisamy P. Asymptotic distributions of some robust scale estimators in explosive AR(1) model Statistics & Probability Letters. 126: 157-163. DOI: 10.1016/J.Spl.2017.03.007 |
0.508 |
|
2017 |
Geng P, Koul HL. Model checking in Tobit regression with measurement errors using validation data Journal of Statistical Planning and Inference. 190: 15-31. DOI: 10.1016/J.Jspi.2017.05.002 |
0.594 |
|
2017 |
Perera I, Koul HL. Fitting a two phase threshold multiplicative error model Journal of Econometrics. 197: 348-367. DOI: 10.1016/J.Jeconom.2016.12.002 |
0.495 |
|
2016 |
Jureekova J, Koul HL, Navratil R, Picek J. Behavior of Restimators under measurement errors Bernoulli. 22: 1093-1112. DOI: 10.3150/14-BEJ687 |
0.465 |
|
2016 |
Koul HL, Mimoto N, Surgailis D. A goodness-of-fit test for marginal distribution of linear random fields with long memory Metrika. 79: 165-193. DOI: 10.1007/S00184-015-0550-Z |
0.53 |
|
2015 |
Kaul A, Koul HL. Weighted ℓ1-penalized corrected quantile regression for high dimensional measurement error models Journal of Multivariate Analysis. 140: 72-91. DOI: 10.1016/J.Jmva.2015.04.009 |
0.582 |
|
2015 |
Koul HL, Zhu X. Goodness-of-fit testing of error distribution in nonparametric ARCH(1) models Journal of Multivariate Analysis. 137: 141-160. DOI: 10.1016/J.Jmva.2015.02.009 |
0.56 |
|
2014 |
Koul HL, Song W. Simulation extrapolation estimation in parametric models with laplace measurement error Electronic Journal of Statistics. 1973-1995. DOI: 10.1214/14-Ejs941 |
0.638 |
|
2014 |
Dalla V, Giraitis L, Koul HL. Studentizing weighted sums of linear processes Journal of Time Series Analysis. 35: 151-172. DOI: 10.1111/Jtsa.12056 |
0.401 |
|
2014 |
Abadir KM, Distaso W, Giraitis L, Koul HL. Asymptotic normality for weighted sums of linear processes Econometric Theory. 30: 252-284. DOI: 10.1017/S0266466613000182 |
0.443 |
|
2014 |
Koul HL, Song W. Minimum distance partial linear regression model checking with Berkson measurement errors Journal of Statistical Planning and Inference. DOI: 10.1016/J.Jspi.2016.01.007 |
0.734 |
|
2014 |
Koul HL, Song W, Liu S. Model checking in Tobit regression via nonparametric smoothing Journal of Multivariate Analysis. 125: 36-49. DOI: 10.1016/J.Jmva.2013.11.017 |
0.676 |
|
2014 |
Koul HL, Surgailis D, Mimoto N. Minimum distance lack-of-fit tests under long memory errors Metrika. DOI: 10.1007/S00184-014-0492-X |
0.587 |
|
2013 |
Giraitis L, Koul HL. On asymptotic distributions of weighted sums of periodograms Bernoulli. 19: 2389-2413. DOI: 10.3150/12-Bej456 |
0.403 |
|
2013 |
Koul HL, Song W. Large sample results for varying kernel regression estimates Journal of Nonparametric Statistics. 25: 829-853. DOI: 10.1080/10485252.2013.810742 |
0.657 |
|
2013 |
Koul HL, Mimoto N, Surgailis D. Goodness-of-fit tests for long memory moving average marginal density Metrika. 76: 205-224. DOI: 10.1007/S00184-012-0383-Y |
0.593 |
|
2012 |
Koul HL, Müller UU, Schick A. The transfer principle: A tool for complete case analysis Annals of Statistics. 40: 3031-3049. DOI: 10.1214/12-Aos1061 |
0.566 |
|
2012 |
Koul HL, Perera I, Silvapulle MJ. Lack-of-fit testing of the conditional mean function in a class of markov multiplicative error models Econometric Theory. 28: 1283-1312. DOI: 10.1017/S0266466612000102 |
0.565 |
|
2012 |
Koul HL, Mimoto N. A goodness-of-fit test for GARCH innovation density Metrika. 75: 127-149. DOI: 10.1007/S00184-010-0318-4 |
0.551 |
|
2011 |
Koul HL. Minimum distance lack-of-fit tests for fixed design Journal of Statistical Planning and Inference. 141: 65-79. DOI: 10.1016/J.Jspi.2010.05.019 |
0.588 |
|
2010 |
Koul HL, Surgailis D. Goodness-of-fit testing under long memory Journal of Statistical Planning and Inference. 140: 3742-3753. DOI: 10.1016/J.Jspi.2010.04.039 |
0.519 |
|
2010 |
Koul HL, Song W. Conditional variance model checking Journal of Statistical Planning and Inference. 140: 1056-1072. DOI: 10.1016/J.Jspi.2009.10.008 |
0.682 |
|
2010 |
Koul HL, Song W. Model checking in partial linear regression models with berkson measurement errors Statistica Sinica. 20: 1551-1579. |
0.475 |
|
2009 |
Khmaladze EV, Koul HL. Goodness-of-fit problem for errors in nonparametric regression: Distribution free approach Annals of Statistics. 37: 3165-3185. DOI: 10.1214/08-Aos680 |
0.583 |
|
2009 |
Koul HL, Song W. Minimum distance regression model checking with berkson measurement errors Annals of Statistics. 37: 132-156. DOI: 10.1214/07-Aos565 |
0.735 |
|
2009 |
Koul HL, Surgailis D. Testing of a sub-hypothesis in linear regression models with long memory errors and deterministic design Journal of Statistical Planning and Inference. 139: 2715-2730. DOI: 10.1016/J.Jspi.2008.12.011 |
0.549 |
|
2009 |
Jurečková J, Koul HL, Picek J. Testing the tail index in autoregressive models Annals of the Institute of Statistical Mathematics. 61: 579-598. DOI: 10.1007/S10463-007-0155-Z |
0.442 |
|
2008 |
Guo H, Koul HL. Asymptotic inference in some heteroscedastic regression models with long memory design and errors Annals of Statistics. 36: 458-487. DOI: 10.1214/009053607000000686 |
0.718 |
|
2008 |
Koul HL, Song W. Regression model checking with Berkson measurement errors Journal of Statistical Planning and Inference. 138: 1615-1628. DOI: 10.1016/J.Jspi.2007.05.048 |
0.684 |
|
2008 |
Koul HL, Surgailis D. Testing a sub-hypothesis in linear regression models with long memory covariates and errors Applications of Mathematics. 53: 235-248. DOI: 10.1007/S10492-008-0007-Z |
0.562 |
|
2008 |
Genton MG, Koul HL. Minimum distance inference in unilateral autoregressive lattice processes Statistica Sinica. 18: 617-631. |
0.55 |
|
2007 |
Guo H, Koul HL. Nonparametric regression with heteroscedastic long memory errors Journal of Statistical Planning and Inference. 137: 379-404. DOI: 10.1016/J.Jspi.2006.01.016 |
0.697 |
|
2006 |
Koul HL, Ling S. Fitting an error distribution in some heteroscedastic time series models Annals of Statistics. 34: 994-1012. DOI: 10.1214/009053606000000191 |
0.57 |
|
2006 |
Koul HL. Model diagnostics via martingale transforms: A brief review Frontiers in Statistics: Dedicated to Peter John Bickel in Honor of His 65th Birthday. 183-206. DOI: 10.1142/9781860948886_0009 |
0.419 |
|
2006 |
Stute W, Presedo Quindimil M, González Manteiga W, Koul HL. Model checks of higher order time series Statistics and Probability Letters. 76: 1385-1396. DOI: 10.1016/J.Spl.2006.02.009 |
0.397 |
|
2006 |
Koul HL, Yi T. Goodness-of-fit testing in interval censoring case 1 Statistics and Probability Letters. 76: 709-718. DOI: 10.1016/J.Spl.2005.10.002 |
0.636 |
|
2005 |
Koul HL, Sakhanenko L. Goodness-of-fit testing in regression: A finite sample comparison of bootstrap methodology and Khmaladze transformation Statistics and Probability Letters. 74: 290-302. DOI: 10.1016/J.Spl.2005.04.053 |
0.498 |
|
2005 |
Koul HL, Li F. Testing for superiority among two time series Statistical Inference For Stochastic Processes. 8: 109-135. DOI: 10.1007/S11203-003-8475-Y |
0.508 |
|
2005 |
Koul HL, Stute W, Li F. Model diagnosis for setar time series Statistica Sinica. 15: 795-817. |
0.466 |
|
2004 |
Khmaladze EV, Koul HL. Martingale transforms goodness-of-fit tests in regression models Annals of Statistics. 32: 995-1034. DOI: 10.1214/009053604000000274 |
0.533 |
|
2004 |
Koul HL, Baillie RT, Surgailis D. Regression model fitting with a long memory covariate process Econometric Theory. 20: 485-512. DOI: 10.1017/S0266466604203036 |
0.519 |
|
2004 |
Koul HL, Ni P. Minimum distance regression model checking Journal of Statistical Planning and Inference. 119: 109-141. DOI: 10.1016/S0378-3758(02)00415-9 |
0.59 |
|
2003 |
Koul HL, Schick A. Testing for superiority among two regression curves Journal of Statistical Planning and Inference. 117: 15-33. DOI: 10.1016/S0378-3758(02)00364-6 |
0.503 |
|
2003 |
Koul HL, Qian L, Surgailis D. Asymptotics of M-estimators in two-phase linear regression models Stochastic Processes and Their Applications. 103: 123-154. DOI: 10.1016/S0304-4149(02)00185-0 |
0.754 |
|
2003 |
Koul HL, Baillie RT. Asymptotics of M-estimators in non-linear regression with long memory designs Statistics and Probability Letters. 61: 237-252. DOI: 10.1016/S0167-7152(02)00354-1 |
0.551 |
|
2002 |
Koul HL, Qian L. Asymptotics of maximum likelihood estimator in a two-phase linear regression model Journal of Statistical Planning and Inference. 108: 99-119. DOI: 10.1016/S0378-3758(02)00273-2 |
0.765 |
|
2002 |
Koul HL. Asymptotic distributions of some scale estimators in nonlinear models Metrika. 55: 75-90. DOI: 10.1007/S001840200188 |
0.575 |
|
2001 |
Koul HL, Surgailis D. Asymptotics of empirical processes of long memory moving averages with infinite variance Stochastic Processes and Their Applications. 91: 309-336. DOI: 10.1016/S0304-4149(00)00065-X |
0.502 |
|
2000 |
Koul HL, Surgailis D. Asymptotic Normality of the Whittle Estimator in Linear Regression Models with Long Memory Errors Statistical Inference For Stochastic Processes. 3: 129-147. DOI: 10.1023/A:1009999607588 |
0.537 |
|
2000 |
Koul HL, Surgailis D. Second-order behavior of M-estimators in linear regression with long-memory errors Journal of Statistical Planning and Inference. 91: 399-412. DOI: 10.1016/S0378-3758(00)00190-7 |
0.573 |
|
1999 |
Koul HL, Stute W. Nonparametric model checks for time series Annals of Statistics. 27: 204-236. DOI: 10.1214/Aos/1018031108 |
0.498 |
|
1999 |
Koul HL, Schick A. Inference about the ratio of scale parameters in a two-sample setting with current status data Statistics and Probability Letters. 45: 359-369. DOI: 10.1016/S0167-7152(99)00078-4 |
0.526 |
|
1998 |
Koul HL, Stute W. Regression model fitting with long memory errors Journal of Statistical Planning and Inference. 71: 35-56. DOI: 10.1016/S0378-3758(98)00016-0 |
0.546 |
|
1997 |
Koul HL, Schick A. Efficient estimation in nonlinear autoregressive time-series models Bernoulli. 3: 247-277. DOI: 10.2307/3318592 |
0.526 |
|
1997 |
Koul HL, Surgailis D. Asymptotic expansion of M-estimators with long-memory errors Annals of Statistics. 25: 818-850. DOI: 10.1214/Aos/1031833675 |
0.514 |
|
1997 |
Hall P, Koul HL, Turlach BA. Note on convergence rates of semiparametric estimators of dependence index Annals of Statistics. 25: 1725-1739. DOI: 10.1214/Aos/1031594739 |
0.389 |
|
1997 |
Koul HL, Schick A. Testing for the equality of two nonparametric regression curves Journal of Statistical Planning and Inference. 65: 293-314. DOI: 10.1016/S0378-3758(97)00063-3 |
0.53 |
|
1997 |
Giraitis L, Koul H. Estimation of the dependence parameter in linear regression with long-range-dependent errors Stochastic Processes and Their Applications. 71: 207-224. DOI: 10.1016/S0304-4149(97)00061-6 |
0.572 |
|
1996 |
Koul HL. Asymptotics of some estimators and sequential residual empiricals in nonlinear time series Annals of Statistics. 24: 380-404. DOI: 10.1214/Aos/1033066216 |
0.553 |
|
1996 |
Koul HL, Schick A. Adaptive estimation in a random coefficient autoregressive model Annals of Statistics. 24: 1025-1052. DOI: 10.1214/Aos/1032526954 |
0.548 |
|
1996 |
Giraitis L, Koul HL, Surgailis D. Asymptotic normality of regression estimators with long memory errors Statistics and Probability Letters. 29: 317-335. DOI: 10.1016/0167-7152(95)00188-3 |
0.534 |
|
1995 |
Koul HL, Saleh AKME. Autoregression Quantiles and Related Rank-Scores Processes Annals of Statistics. 23: 670-689. DOI: 10.1214/Aos/1176324541 |
0.452 |
|
1995 |
Koul HL, Zhu Z. Bahadur-Kiefer representations for GM-estimators in autoregression models Stochastic Processes and Their Applications. 57: 167-189. DOI: 10.1016/0304-4149(95)00008-U |
0.519 |
|
1994 |
Koul HL, Mukherjee K. Regression Quantiles and Related Processes Under Long Range Dependent Errors Journal of Multivariate Analysis. 51: 318-337. DOI: 10.1006/Jmva.1994.1065 |
0.515 |
|
1994 |
Koul HL, Lahiri SN. On Bootstrapping M-Estimated Residual Processes in Multiple Linear-Regression Models Journal of Multivariate Analysis. 49: 255-265. DOI: 10.1006/Jmva.1994.1025 |
0.567 |
|
1993 |
Koul HL, Saleh AKME. R-Estimation of the Parameters of Autoregressive [Ar (p)] Models Annals of Statistics. 21: 534-551. DOI: 10.1214/Aos/1176349041 |
0.398 |
|
1993 |
Koul HL, Mukherjee K. Asymptotics of R-, MD- and LAD-estimators in linear regression models with long range dependent errors Probability Theory and Related Fields. 95: 535-553. DOI: 10.1007/Bf01196733 |
0.591 |
|
1992 |
Koul HL. M-estimators in linear models with long range dependent errors Statistics and Probability Letters. 14: 153-164. DOI: 10.1016/0167-7152(92)90079-K |
0.55 |
|
1991 |
Koul HL, Sen PK. Weak convergence of a weighted residual empirical process in autoregression Statistics and Risk Modeling. 9: 235-262. DOI: 10.1524/Strm.1991.9.3.235 |
0.533 |
|
1991 |
Koul HL. A weak convergence result useful in robust autoregression Journal of Statistical Planning and Inference. 29: 291-308. DOI: 10.1016/0378-3758(91)90005-Y |
0.493 |
|
1990 |
Koul HL, Pflug GC. Weakly Adaptive Estimators in Explosive Autoregression Annals of Statistics. 18: 939-960. DOI: 10.1214/Aos/1176347634 |
0.426 |
|
1989 |
Koul HL, Levental S. Weak convergence of the residual empirical process in explosive autoregression Annals of Statistics. 17: 1784-1794. DOI: 10.1214/Aos/1176347395 |
0.537 |
|
1989 |
Koul HL. A quadraticity limit theorem useful in linear models Probability Theory and Related Fields. 82: 371-386. DOI: 10.1007/Bf00339993 |
0.523 |
|
1988 |
Schick A, Susarla V, Koul H. Efficient Estimation Of Functionals With Censored Data Statistics and Risk Modeling. 6: 349-360. DOI: 10.1524/Strm.1988.6.4.349 |
0.401 |
|
1986 |
Koul HL. Minimum Distance Estimation and Goodness-of-Fit Tests in First-Order Autoregression Annals of Statistics. 14: 1194-1213. DOI: 10.1214/Aos/1176350059 |
0.387 |
|
1985 |
Koul HL, Sen PK. On a Kolmogorov-Smirnov type aligned test in linear regression Statistics and Probability Letters. 3: 111-115. DOI: 10.1016/0167-7152(85)90046-X |
0.462 |
|
1985 |
Koul HL. Minimum distance estimation in linear regression with unknown error distributions Statistics and Probability Letters. 3: 1-8. DOI: 10.1016/0167-7152(85)90002-1 |
0.582 |
|
1983 |
Koul HL, Susarla V. Adaptive Estimation in Linear Regression Statistics and Risk Modeling. 1: 379-400. DOI: 10.1524/strm.1983.1.45.379 |
0.383 |
|
1983 |
Basawa IV, Koul HL. Asymptotically minimax tests of composite hypotheses for nonergodic type processes Stochastic Processes and Their Applications. 14: 41-54. DOI: 10.1016/0304-4149(83)90045-5 |
0.442 |
|
1983 |
Koul HL, Susarla V. Estimators of scale parameters in linear regression Statistics and Probability Letters. 1: 273-277. DOI: 10.1016/0167-7152(83)90044-5 |
0.501 |
|
1981 |
Koul H, Susarla V, Ryzin JV. Regression Analysis with Randomly Right-Censored Data Annals of Statistics. 9: 1276-1288. DOI: 10.1214/Aos/1176345644 |
0.583 |
|
1980 |
Koul HL, Susarla V. Testing for new better than used in expectation with incomplete data Journal of the American Statistical Association. 75: 952-956. DOI: 10.1080/01621459.1980.10477578 |
0.408 |
|
1979 |
Basawa IV, Koul HL. Asymptotic tests of composite hypotheses for non-ergodic type stochastic processes Stochastic Processes and Their Applications. 9: 291-305. DOI: 10.1016/0304-4149(79)90051-6 |
0.51 |
|
1978 |
Koul HL. A class of tests for testing ‘new is better than used’ Canadian Journal of Statistics-Revue Canadienne De Statistique. 6: 249-271. DOI: 10.2307/3315051 |
0.331 |
|
1978 |
Koul HL. Testing For New is Better Than Used In Expectation Communications in Statistics - Theory and Methods. 7: 685-701. DOI: 10.1080/03610927808827658 |
0.441 |
|
1977 |
Koul HL. Behavior of Robust Estimators in the Regression Model with Dependent Errors Annals of Statistics. 5: 681-699. DOI: 10.1214/Aos/1176343892 |
0.494 |
|
1977 |
Koul HL. A Test for New Better than Used Communications in Statistics - Theory and Methods. 6: 563-573. DOI: 10.1080/03610927708827514 |
0.439 |
|
1976 |
Koul HL, Staudte RG. Power Bounds for a Smirnov Statistic in Testing the Hypothesis of Symmetry Annals of Statistics. 4: 924-935. DOI: 10.1214/Aos/1176343589 |
0.382 |
|
1975 |
Koul HL. Asymptotic normality of H-L estimators based on dependent data Annals of the Institute of Statistical Mathematics. 27: 429-441. DOI: 10.1007/Bf02504661 |
0.467 |
|
1972 |
Koul HL. Some Asymptotic Results on Random Rank Statistics Annals of Mathematical Statistics. 43: 842-859. DOI: 10.1214/Aoms/1177692550 |
0.479 |
|
1972 |
Koul HL, Staudte RG. Asymptotic normality of signed rank statistics Zeitschrift FüR Wahrscheinlichkeitstheorie Und Verwandte Gebiete. 22: 293-300. DOI: 10.1007/Bf00532489 |
0.461 |
|
1971 |
Koul HL. Asymptotic Behavior of a Class of Confidence Regions Based on Ranks in Regression Annals of Mathematical Statistics. 42: 466-476. DOI: 10.1214/Aoms/1177693398 |
0.36 |
|
1970 |
Koul HL. A Class of ADF Tests for Subhypothesis in the Multiple Linear Regression Annals of Mathematical Statistics. 41: 1273-1281. DOI: 10.1214/Aoms/1177696902 |
0.426 |
|
1970 |
Koul HL. Asymptotic Normality of Random Rank Statistics Annals of Mathematical Statistics. 41: 2144-2149. DOI: 10.1214/Aoms/1177696717 |
0.466 |
|
1969 |
Koul HL. Asymptotic Behavior of Wilcoxon Type Confidence Regions in Multiple Linear Regression Annals of Mathematical Statistics. 40: 1950-1979. DOI: 10.1214/Aoms/1177697278 |
0.355 |
|
Low-probability matches (unlikely to be authored by this person) |
1972 |
Koul HL, Staudte RG. Weak Convergence of Weighted Empirical Cumulatives Based on Ranks Annals of Mathematical Statistics. 43: 832-841. DOI: 10.1214/Aoms/1177692549 |
0.298 |
|
1970 |
Koul HL. Some Convergence Theorems for Ranks and Weighted Empirical Cumulatives Annals of Mathematical Statistics. 41: 1768-1773. DOI: 10.1214/Aoms/1177696824 |
0.297 |
|
1994 |
Koul HL, Ossiander M. Weak Convergence of Randomly Weighted Dependent Residual Empiricals with Applications to Autoregression Annals of Statistics. 22: 540-562. DOI: 10.1214/Aos/1176325383 |
0.294 |
|
1988 |
Basawa IV, Koul HL. Large-sample statistics based on quadratic dispersion International Statistical Review. 56: 199-219. DOI: 10.2307/1403349 |
0.292 |
|
2016 |
Koul HL, Koenker R. A conversation with Estate V. Khmaladze Statistical Science. 31: 453-464. DOI: 10.1214/16-Sts566 |
0.286 |
|
2006 |
Fan J, Koul HL. Frontiers in statistics: Dedicated to Peter John Bickel in honor of his 65th birthday Frontiers in Statistics: Dedicated to Peter John Bickel in Honor of His 65th Birthday. 1-523. DOI: 10.1142/P459 |
0.273 |
|
2012 |
Giraitis L, Koul HL, Surgailis D. Large sample inference for long memory processes Large Sample Inference For Long Memory Processes. 1-577. DOI: 10.1142/P591 |
0.18 |
|
1988 |
Koul HL. TUBE DRAWING AND SINKING THROUGH ROLLER DIES Journal of the Institution of Engineers (India): Mechanical Engineering Division. 68: 89-91. |
0.074 |
|
2007 |
Koul HL, Akritas M, Schick A. Preface Statistics and Probability Letters. 77: v-vi. DOI: 10.1016/j.spl.2007.03.028 |
0.01 |
|
Hide low-probability matches. |