Year |
Citation |
Score |
2020 |
López‐Cheda A, Jácome MA, Keilegom IV, Cao R. Nonparametric covariate hypothesis tests for the cure rate in mixture cure models Statistics in Medicine. 39: 2291-2307. PMID 32478440 DOI: 10.1002/Sim.8530 |
0.388 |
|
2020 |
Barbeito I, Cao R. Nonparametric curve estimation and bootstrap bandwidth selection Wiley Interdisciplinary Reviews: Computational Statistics. 12. DOI: 10.1002/Wics.1488 |
0.414 |
|
2019 |
Barreiro-Ures D, Francisco-Fernández M, Cao R, Fraguela BB, Doallo R, González-Andújar JL, Reyes M. Analysis of interval-grouped data in weed science: The binnednp Rcpp package. Ecology and Evolution. 9: 10903-10915. PMID 31641444 DOI: 10.1002/Ece3.5448 |
0.449 |
|
2019 |
Bolón-Canedo V, Alonso-Betanzos A, López-de-Ullibarri I, Cao R. Challenges and Future Trends for Microarray Analysis. Methods in Molecular Biology (Clifton, N.J.). 1986: 283-293. PMID 31115895 DOI: 10.1007/978-1-4939-9442-7_14 |
0.323 |
|
2019 |
Cao R, López-de-Ullibarri I. ROC Curves for the Statistical Analysis of Microarray Data. Methods in Molecular Biology (Clifton, N.J.). 1986: 245-253. PMID 31115892 DOI: 10.1007/978-1-4939-9442-7_11 |
0.324 |
|
2019 |
Barbeito I, Cao R, Politis D. Bootstrap confidence intervals for conditional density function in Markov processes Communications in Statistics - Simulation and Computation. 1-23. DOI: 10.1080/03610918.2019.1642487 |
0.311 |
|
2019 |
Barbeito I, Cao R. Smoothed bootstrap bandwidth selection for nonparametric hazard rate estimation Journal of Statistical Computation and Simulation. 89: 15-37. DOI: 10.1080/00949655.2018.1532512 |
0.473 |
|
2019 |
Aneiros G, Cao R, Fraiman R, Genest C, Vieu P. Recent advances in functional data analysis and high-dimensional statistics Journal of Multivariate Analysis. 170: 3-9. DOI: 10.1016/J.Jmva.2018.11.007 |
0.317 |
|
2017 |
López-Cheda A, Cao R, Jácome MA, Keilegom IV. Nonparametric incidence estimation and bootstrap bandwidth selection in mixture cure models Computational Statistics & Data Analysis. 105: 144-165. DOI: 10.1016/J.Csda.2016.08.002 |
0.473 |
|
2017 |
Reyes M, Francisco-Fernández M, Cao R. Bandwidth selection in kernel density estimation for interval-grouped data Test. 26: 527-545. DOI: 10.1007/S11749-017-0523-9 |
0.455 |
|
2017 |
López-Cheda A, Jácome MA, Cao R. Nonparametric latency estimation for mixture cure models Test. 26: 353-376. DOI: 10.1007/S11749-016-0515-1 |
0.463 |
|
2016 |
Gonzalez‐Andujar JL, Francisco‐Fernandez M, Cao R, Reyes M, Urbano JM, Forcella F, Bastida F. A comparative study between nonlinear regression and nonparametric approaches for modelling Phalaris paradoxa seedling emergence Weed Research. 56: 367-376. DOI: 10.1111/Wre.12216 |
0.35 |
|
2016 |
Reyes M, Francisco-Fernández M, Cao R. Nonparametric kernel density estimation for general grouped data Journal of Nonparametric Statistics. 1-15. DOI: 10.1080/10485252.2016.1163348 |
0.474 |
|
2016 |
Barbeito I, Cao R. Smoothed stationary bootstrap bandwidth selection for density estimation with dependent data Computational Statistics & Data Analysis. 104: 130-147. DOI: 10.1016/J.Csda.2016.06.015 |
0.477 |
|
2015 |
González-Montoro AM, Cao R, Espinosa N, Cudeiro J, Mariño J. Bootstrap testing for cross-correlation under low firing activity. Journal of Computational Neuroscience. 38: 577-87. PMID 25868704 DOI: 10.1007/S10827-015-0557-5 |
0.315 |
|
2014 |
González Montoro AM, Cao R, Espinosa N, Cudeiro J, Mariño J. Functional two-way analysis of variance and bootstrap methods for neural synchrony analysis. Bmc Neuroscience. 15: 96. PMID 25112283 DOI: 10.1186/1471-2202-15-96 |
0.39 |
|
2014 |
Montoro AM, Cao R, Faes C, Molenberghs G, Espinosa N, Cudeiro J, Marino J. Cross nearest-spike interval based method to measure synchrony dynamics. Mathematical Biosciences and Engineering : Mbe. 11: 27-48. PMID 24245679 DOI: 10.3934/Mbe.2014.11.27 |
0.345 |
|
2014 |
Strzalkowska-Kominiak E, Cao R. Beran-based approach for single-index models under censoring Computational Statistics. 29: 1243-1261. DOI: 10.1007/S00180-014-0489-Y |
0.463 |
|
2013 |
Cao R, Vilar JA, Vilar JM, López AK. Sampling Error Estimation in Stratified Surveys Open Journal of Statistics. 3: 200-212. DOI: 10.4236/Ojs.2013.33023 |
0.454 |
|
2013 |
Aneiros G, Vilar JM, Cao R, Roque AMS. Functional Prediction for the Residual Demand in Electricity Spot Markets Ieee Transactions On Power Systems. 28: 4201-4208. DOI: 10.1109/Tpwrs.2013.2258690 |
0.325 |
|
2013 |
Naya S, Cao R, Francisco-Fernández M, Tarrío-Saavedra J, Brage H, Cancelo C. Estimating Water and Solid Impurities in Jet Fuel from ISO Codes Energy & Fuels. 27: 7858-7867. DOI: 10.1021/Ef401378Z |
0.321 |
|
2013 |
Boente G, Cao R, Manteiga WG, Rodriguez D. Testing in generalized partially linear models: A robust approach Statistics & Probability Letters. 83: 203-212. DOI: 10.1016/J.Spl.2012.08.031 |
0.351 |
|
2013 |
Strzalkowska-Kominiak E, Cao R. Maximum likelihood estimation for conditional distribution single-index models under censoring Journal of Multivariate Analysis. 114: 74-98. DOI: 10.1016/J.Jmva.2012.07.012 |
0.5 |
|
2012 |
Cao R, Vilar JA, Vilar JM. Generalised Variance Function Estimation For Binary Variables In Large-Scale Sample Surveys Australian & New Zealand Journal of Statistics. 54: 301-324. DOI: 10.1111/J.1467-842X.2012.00682.X |
0.479 |
|
2012 |
López-de-Ullibarri I, Janssen P, Cao R. Continuous covariate frailty models for censored and truncated clustered data Journal of Statistical Planning and Inference. 142: 1864-1877. DOI: 10.1016/J.Jspi.2012.02.044 |
0.434 |
|
2012 |
Vilar JM, Cao R, Aneiros G. Forecasting next-day electricity demand and price using nonparametric functional methods International Journal of Electrical Power & Energy Systems. 39: 48-55. DOI: 10.1016/J.Ijepes.2012.01.004 |
0.306 |
|
2012 |
Cao R, Francisco-Fernández M, Anand A, Bastida F, González-Andújar JL. Modeling Bromus diandrus Seedling Emergence Using Nonparametric Estimation Journal of Agricultural, Biological, and Environmental Statistics. 18: 64-86. DOI: 10.1007/S13253-012-0122-X |
0.437 |
|
2011 |
Aneiros‐Pérez G, Cao R, Vilar‐Fernández JM. Functional methods for time series prediction: a nonparametric approach Journal of Forecasting. 30: 377-392. DOI: 10.1002/For.1169 |
0.395 |
|
2010 |
Garcia-Magariños M, Antoniadis A, Cao R, González-Manteiga W. Lasso logistic regression, GSoft and the cyclic coordinate descent algorithm: application to gene expression data. Statistical Applications in Genetics and Molecular Biology. 9: 1-30. PMID 20812908 DOI: 10.2202/1544-6115.1536 |
0.409 |
|
2010 |
Ausín MC, Vilar JM, Cao R, González-Fragueiro C. Bayesian Analysis of Aggregate Loss Models Mathematical Finance. 21: 257-279. DOI: 10.1111/J.1467-9965.2010.00428.X |
0.431 |
|
2010 |
Teodorescu B, Keilegom IV, Cao R. Generalized time-dependent conditional linear models under left truncation and right censoring Annals of the Institute of Statistical Mathematics. 62: 465-485. DOI: 10.1007/S10463-008-0187-Z |
0.377 |
|
2010 |
Molanes-Lopez EM, Cao R, Keilegom IV. Smoothed empirical likelihood confidence intervals for the relative distribution with left-truncated and right-censored data Canadian Journal of Statistics-Revue Canadienne De Statistique. 38: 453-473. DOI: 10.1002/Cjs.10079 |
0.386 |
|
2009 |
Vilar JM, Cao R, Ausín MC, González-Fragueiro C. Nonparametric analysis of aggregate loss models Journal of Applied Statistics. 36: 149-166. DOI: 10.1080/02664760802443921 |
0.426 |
|
2009 |
Cao R, Naya S. Nonlinear regression checking via local polynomial smoothing with applications to thermogravimetric analysis Journal of Chemometrics. 23: 275-282. DOI: 10.1002/Cem.1227 |
0.459 |
|
2008 |
Jácome MA, Cao R. Strong representation of the presmoothed quantile function estimator for censored data Statistica Neerlandica. 62: 425-440. DOI: 10.1111/J.1467-9574.2008.00388.X |
0.471 |
|
2008 |
Molanes-López E, Cao R. Relative density estimation for left truncated and right censored data Journal of Nonparametric Statistics. 20: 693-720. DOI: 10.1080/10485250802447882 |
0.466 |
|
2008 |
Jácome MA, Cao R. Asymptotic-based bandwidth selection for the presmoothed density estimator with censored data Journal of Nonparametric Statistics. 20: 483-506. DOI: 10.1080/10485250802280226 |
0.487 |
|
2008 |
Cao R, González-Manteiga W. Goodness-of-fit tests for conditional models under censoring and truncation Journal of Econometrics. 143: 166-190. DOI: 10.1016/J.Jeconom.2007.08.011 |
0.35 |
|
2008 |
López-de-Ullibarri I, Cao R, Cadarso-Suárez C, Lado MJ. Nonparametric estimation of conditional ROC curves: Application to discrimination tasks in computerized detection of early breast cancer Computational Statistics & Data Analysis. 52: 2623-2631. DOI: 10.1016/J.Csda.2007.09.013 |
0.43 |
|
2008 |
Molanes-López EM, Cao R. Plug-in bandwidth selector for the kernel relative density estimator Annals of the Institute of Statistical Mathematics. 60: 273-300. DOI: 10.1007/S10463-006-0108-Y |
0.433 |
|
2008 |
Jácome MA, Gijbels I, Cao R. Comparison of presmoothing methods in kernel density estimation under censoring Computational Statistics. 23: 381-406. DOI: 10.1007/S00180-007-0076-6 |
0.458 |
|
2007 |
Vilar-Fernández JM, Cao R. Nonparametric Forecasting in Time Series—A Comparative Study Communications in Statistics - Simulation and Computation. 36: 311-334. DOI: 10.1080/03610910601158377 |
0.465 |
|
2007 |
Jácome MA, Cao R. Almost sure asymptotic representation for the presmoothed distribution and density estimators for censored data Statistics. 41: 517-534. DOI: 10.1080/02331880701529522 |
0.472 |
|
2007 |
Cao R. Comments on: Nonparametric inference with generalized likelihood ratio tests Test. 16: 468-470. DOI: 10.1007/S11749-007-0089-Z |
0.31 |
|
2007 |
Cao R, López-de-Ullibarri I. Product-type and presmoothed hazard rate estimators with censored data Test. 16: 355-382. DOI: 10.1007/S11749-006-0014-X |
0.441 |
|
2007 |
Barbadillo F, Fuentes A, Naya S, Cao R, Mier JL, Artiaga R. Evaluating the logistic mixture model on real and simulated TG curves Journal of Thermal Analysis and Calorimetry. 87: 223-227. DOI: 10.1007/S10973-006-8283-X |
0.325 |
|
2006 |
Naya S, Cao R, Artiaga R, García A. New Method for Material Classification from TGA Data by Nonparametric Regression Materials Science Forum. 1452-1456. DOI: 10.4028/Www.Scientific.Net/Msf.514-516.1452 |
0.354 |
|
2006 |
Naya S, Cao R, Ullibarri ILd, Artiaga R, Barbadillo F, García A. Logistic mixture model versus Arrhenius for kinetic study of material degradation by dynamic thermogravimetric analysis Journal of Chemometrics. 20: 158-163. DOI: 10.1002/Cem.1023 |
0.326 |
|
2005 |
Artiaga R, Cao R, Naya S, González-Martín B, Mier J, García A. Separation of Overlapping Processes from TGA Data and Verification by EGA Journal of Astm International. 2: 12795. DOI: 10.1520/Jai12795 |
0.395 |
|
2005 |
Cao R, Lugosi G. Goodness-of-fit Tests Based on the Kernel Density Estimator Scandinavian Journal of Statistics. 32: 599-616. DOI: 10.1111/J.1467-9469.2005.00471.X |
0.379 |
|
2005 |
Cao R, López-de-Ullibarri I, Janssen P, Veraverbeke N, Centrum LU. Presmoothed Kaplan-Meier and Nelson-Aalen Estimators Journal of Nonparametric Statistics. 17: 31-56. DOI: 10.1080/10485250410001713981 |
0.471 |
|
2005 |
Artiaga R, Cao R, Naya S, Trillo J. Nonparametric two-stage plug-in adaptive smoothing for thermal analysis data Journal of Statistical Computation and Simulation. 75: 39-54. DOI: 10.1080/00949650410001657175 |
0.356 |
|
2005 |
Cao R, Janssen P, Veraverbeke N. Relative hazard rate estimation for right censored and left truncated data Test. 14: 257-280. DOI: 10.1007/Bf02595406 |
0.425 |
|
2004 |
Artiaga R, Cao R, Naya S, García A. Polymer Degradation from the Thermal Analysis Point of View Mrs Proceedings. 851. DOI: 10.1557/Proc-851-Nn11.1 |
0.371 |
|
2004 |
Cao R, Jácome MA. Presmoothed kernel density estimator for censored data Journal of Nonparametric Statistics. 16: 289-309. DOI: 10.1080/10485250310001622622 |
0.473 |
|
2004 |
Cao R, Naya S, Artiaga R, Garcı́a A, Varela A. Logistic approach to polymer degradation in dynamic TGA Polymer Degradation and Stability. 85: 667-674. DOI: 10.1016/J.Polymdegradstab.2004.03.006 |
0.344 |
|
2003 |
Cao R, Hart JD, Saavedra A. Nonparametric maximum likelihood estimators for ar and ma time series Journal of Statistical Computation and Simulation. 73: 347-360. DOI: 10.1080/0094965021000040640 |
0.465 |
|
2003 |
Naya S, Cao R, Artiaga R. Local polynomial estimation of TGA derivatives using logistic regression for pilot bandwidth selection Thermochimica Acta. 406: 177-183. DOI: 10.1016/S0040-6031(03)00261-2 |
0.391 |
|
2001 |
Saavedra Á, Cao R. Smoothed Bootstrap Bandwidth Selection In Nonparametric Density Estimation For Moving Average Processes Stochastic Analysis and Applications. 19: 555-580. DOI: 10.1081/Sap-100002102 |
0.446 |
|
2001 |
Cao R. Relative efficiency of local bandwidths in kernel density estimation Statistics. 35: 113-137. DOI: 10.1080/02331880108802727 |
0.407 |
|
2001 |
Cao R, Janssen P, Veraverbeke N. Relative density estimation and local bandwidth selection for censored data Computational Statistics & Data Analysis. 36: 497-510. DOI: 10.1016/S0167-9473(00)00055-4 |
0.412 |
|
2000 |
Saavedra A, Cao R. On the estimation of the marginal density of a moving average process Canadian Journal of Statistics-Revue Canadienne De Statistique. 28: 799-815. DOI: 10.2307/3315917 |
0.39 |
|
1999 |
Sánchez-Sellero C, González-Manteiga W, Cao R. Bandwidth Selection in Density Estimation with Truncated and Censored Data Annals of the Institute of Statistical Mathematics. 51: 51-70. DOI: 10.1023/A:1003879001416 |
0.495 |
|
1999 |
Saavedra Á, Cao R. Rate of convergence of a convolution-type estimator of the marginal density of a MA(1) process Stochastic Processes and Their Applications. 80: 129-155. DOI: 10.1016/S0304-4149(98)00091-X |
0.454 |
|
1999 |
Saavedra A, Cao R. A comperative study of two convolution-type estimators of the marginal density of moving average processes Computational Statistics. 14: 355-373. DOI: 10.1007/S001800050021 |
0.453 |
|
1999 |
Cao R. An overview of bootstrap methods for estimating and predicting in time series Test. 8: 95-116. DOI: 10.1007/Bf02595864 |
0.412 |
|
1998 |
Rodríguez-Campos MC, González-Manteiga W, Cao R. Testing the hypothesis of a generalized linear regression model using nonparametric regression estimation Journal of Statistical Planning and Inference. 67: 99-122. DOI: 10.1016/S0378-3758(97)00098-0 |
0.457 |
|
1997 |
Devroye D, Beirlant J, Cao R, Fraiman R, Hall P, Jones MC, Lugosi G, Mammen E, Marron JS, Sánchez-Sellero C, Uña Jd, Udina F, Devroye L. Universal smoothing factor selection in density estimation: theory and practice Test. 6: 223-320. DOI: 10.1007/Bf02564701 |
0.456 |
|
1996 |
González-Manteiga W, Cao R, Marron JS. Bootstrap selection of the smoothing parameter in nonparametric hazard rate estimation Journal of the American Statistical Association. 91: 1130-1140. DOI: 10.1080/01621459.1996.10476983 |
0.476 |
|
1995 |
García-Jurado I, González-Manteiga W, Prada-Sánchez JM, Febrero-Bande M, Cao R. Predicting using Box-Jenkins, nonparametric, and bootstrap techniques Technometrics. 37: 303-310. DOI: 10.2307/1269914 |
0.4 |
|
1995 |
Cao R, Cuevas A, Fraiman R. Minimum distance density-based estimation Computational Statistics & Data Analysis. 20: 611-631. DOI: 10.1016/0167-9473(94)00065-4 |
0.441 |
|
1994 |
Cao R, Cuevas A, Manteiga WG. A comparative study of several smoothing methods in density estimation Computational Statistics & Data Analysis. 17: 153-176. DOI: 10.1016/0167-9473(92)00066-Z |
0.458 |
|
1993 |
Cao R, Prada-Sánchez J. Bootstrapping the mean of a symmetric population Statistics & Probability Letters. 17: 43-48. DOI: 10.1016/0167-7152(93)90193-M |
0.304 |
|
1993 |
González-Manteiga W, Cao R. Testing the hypothesis of a general linear model using nonparametric regression estimation Test. 2: 161-188. DOI: 10.1007/Bf02562674 |
0.402 |
|
1993 |
Cao R. Bootstrapping the mean integrated squared error Journal of Multivariate Analysis. 45: 137-160. DOI: 10.1006/Jmva.1993.1030 |
0.415 |
|
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