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D-optimal and nearly D-optimal exact designs for binary response on the ball

Statistical papers (Berlin, Germany), 2023-08, Vol.64 (4), p.1021-1040

2023

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Locally D-optimal designs for a wider class of non-linear models on the k-dimensional ball: with applications to logit and probit models

Statistical papers (Berlin, Germany), 2019-04, Vol.60 (2), p.515-527

2019

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Locally D-optimal designs for a wider class of non-linear models on the k-dimensional ball

Statistical papers (Berlin, Germany), 2019-04, Vol.60 (2), p.515-527

2019

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Optimal estimator under risk matrix in a seemingly unrelated regression model and its generalized least squares expression

Statistical papers (Berlin, Germany), 2022-02, Vol.63 (1), p.123-141

2022

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Preliminary test and Stein-type shrinkage ridge estimators in robust regression

Statistical papers (Berlin, Germany), 2019-12, Vol.60 (6), p.1849-1882

2019

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Testing for zero inflation and overdispersion in INAR(1) models

Statistical papers (Berlin, Germany), 2019-06, Vol.60 (3), p.823-848

2019

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Moment inequalities for m-negatively associated random variables and their applications

Statistical papers (Berlin, Germany), 2017-09, Vol.58 (3), p.911-928

2017

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An integer-valued threshold autoregressive process based on negative binomial thinning

Statistical papers (Berlin, Germany), 2018-09, Vol.59 (3), p.1131-1160

2018

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Quantile regression for varying-coefficient partially nonlinear models with randomly truncated data

Statistical papers (Berlin, Germany), 2024-06, Vol.65 (4), p.2567-2604

2024

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Two-piece distribution based semi-parametric quantile regression for right censored data

Statistical papers (Berlin, Germany), 2024-07, Vol.65 (5), p.2775-2810

2024

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Penalized estimation in additive varying coefficient models using grouped regularization

Statistical papers (Berlin, Germany), 2014-08, Vol.55 (3), p.727-750

2014

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Quantile regression and variable selection for partially linear model with randomly truncated data

Statistical papers (Berlin, Germany), 2019-08, Vol.60 (4), p.1137-1160

2019

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Compositional cubes: a new concept for multi-factorial compositions

Statistical papers (Berlin, Germany), 2023-06, Vol.64 (3), p.955-985

2023

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Zero-and-one-inflated Poisson regression model

Statistical papers (Berlin, Germany), 2021-04, Vol.62 (2), p.915-934

2021

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Parametric quantile autoregressive moving average models with exogenous terms

Statistical papers (Berlin, Germany), 2024-05, Vol.65 (3), p.1613-1643

2024

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FDR control and power analysis for high-dimensional logistic regression via StabKoff

Statistical papers (Berlin, Germany), 2024-07, Vol.65 (5), p.2719-2749

2024

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Welch’s t test is more sensitive to real world violations of distributional assumptions than student’s t test but logistic regression is more robust than either

Statistical papers (Berlin, Germany), 2024-08, Vol.65 (6), p.3981-3989

Curtis, David

2024

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Optimal subsampling for softmax regression

Statistical papers (Berlin, Germany), 2019-04, Vol.60 (2), p.585-599

2019

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Penalized weighted composite quantile estimators with missing covariates

Statistical papers (Berlin, Germany), 2016-03, Vol.57 (1), p.69-88

2016

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L models and multiple regressions designs

Statistical papers (Berlin, Germany), 2009-08, Vol.50 (4), p.869-885

2009

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Weighted quantile regression for censored data with application to export duration data

Statistical papers (Berlin, Germany), 2019-08, Vol.60 (4), p.1161-1192

2019

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Inversion-free subsampling Newton’s method for large sample logistic regression

Statistical papers (Berlin, Germany), 2022-06, Vol.63 (3), p.943-963

2022

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Variable dispersion beta regressions with parametric link functions

Statistical papers (Berlin, Germany), 2019-10, Vol.60 (5), p.1541-1567

2019

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Bayesian Local Influence for Spatial Autoregressive Models with Heteroscedasticity

Statistical papers (Berlin, Germany), 2019-10, Vol.60 (5), p.1423-1446

2019

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FPCA-based estimation for generalized functional partially linear models

Statistical papers (Berlin, Germany), 2020-12, Vol.61 (6), p.2715-2735

2020

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D-optimal and nearly D-optimal exact designs for binary response on the ball

Locally D-optimal designs for a wider class of non-linear models on the k-dimensional ball: with applications to logit and probit models

Locally D-optimal designs for a wider class of non-linear models on the k-dimensional ball

Optimal estimator under risk matrix in a seemingly unrelated regression model and its generalized least squares expression

Preliminary test and Stein-type shrinkage ridge estimators in robust regression

Testing for zero inflation and overdispersion in INAR(1) models

Moment inequalities for m-negatively associated random variables and their applications

An integer-valued threshold autoregressive process based on negative binomial thinning

Quantile regression for varying-coefficient partially nonlinear models with randomly truncated data

Two-piece distribution based semi-parametric quantile regression for right censored data

Penalized estimation in additive varying coefficient models using grouped regularization

Quantile regression and variable selection for partially linear model with randomly truncated data

Compositional cubes: a new concept for multi-factorial compositions

Zero-and-one-inflated Poisson regression model

Parametric quantile autoregressive moving average models with exogenous terms

FDR control and power analysis for high-dimensional logistic regression via StabKoff

Welch’s t test is more sensitive to real world violations of distributional assumptions than student’s t test but logistic regression is more robust than either

Optimal subsampling for softmax regression

Penalized weighted composite quantile estimators with missing covariates

L models and multiple regressions designs

Weighted quantile regression for censored data with application to export duration data

Inversion-free subsampling Newton’s method for large sample logistic regression

Variable dispersion beta regressions with parametric link functions

Bayesian Local Influence for Spatial Autoregressive Models with Heteroscedasticity

FPCA-based estimation for generalized functional partially linear models

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