A. Pepelyshev

发表

Optimal designs for estimating critical effective dose under model uncertainty in a dose response study

Holger Dette, Weng Kee Wong, Andrey Pepelyshev, 2009 .

A New Approach to Optimal Design for Linear Models With Correlated Observations

A. Zhigljavsky, H. Dette, A. Pepelyshev, 2010 .

A New Approach to Optimal Design for Linear Models With Correlated Observations

Holger Dette, Anatoly Zhigljavsky, Andrey Pepelyshev, 2010, 1303.2863.

Optimal designs for statistical analysis with Zernike polynomials

V. Melas, H. Dette, A. Pepelyshev, 2007 .

Standardized Maximin E-optimal Designs for the Michaelis Menten Model

Holger Dette, Viatcheslav B. Melas, Andrey Pepelyshev, 2002 .

Design for regression models with correlated errors

A. Zhigljavsky, H. Dette, A. Pepelyshev, 2012 .

Fixed-domain asymptotics of the maximum likelihood estimator and the Gaussian process approach for deterministic models

Andrey Pepelyshev, A. Pepelyshev, 2011 .

A new approach to optimal designs for models with correlated observations

Holger Dette, Anatoly Zhigljavsky, Andrey Pepelyshev, 2009 .

Asymptotic optimal designs under long-range dependence error structure

A. Zhigljavsky, H. Dette, A. Pepelyshev, 2009, 1001.1817.

Improvement of random LHD for high dimensions

A. Pepelyshev, 2009, 0907.1823.

Analytic moment and Laplace transform formulae for the quasi-stationary distribution of the Shiryaev diffusion on an interval

Aleksey S. Polunchenko, A. Pepelyshev, 2018, Statistical Papers.

Optimal designs for regression models with autoregressive errors

A. Zhigljavsky, H. Dette, A. Pepelyshev, 2016, 1602.03794.

Optimal designs for discriminating between dose-response models in toxicology studies

H. Dette, A. Pepelyshev, Piter Shpilev, 2010, 1011.5747.

Efficient experimental designs for sigmoidal growth models

H. Dette, A. Pepelyshev, 2005 .

A geometric characterization of optimal designs for regression models with correlated observations

T. Holland-Letz, H. Dette, A. Pepelyshev, 2011, Journal of the Royal Statistical Society. Series B, Statistical methodology.

Optimal designs for estimating the slope of a regression

V. Melas, H. Dette, A. Pepelyshev, 2010 .

Technical Report 09 / 2009 Optimal designs for estimating critical effective dose under model uncertainty in a dose response study

H. Dette, A. Pepelyshev, Piter Shpilev, 2009 .

Optimal designs for 3D shape analysis with spherical harmonic descriptors

V. Melas, H. Dette, A. Pepelyshev, 2004 .

On the optimal choice of the number of empirical Fourier coefficients for comparison of regression curves

V. Melas, A. Pepelyshev, L. Salmaso, 2015 .

Optimal Designs for the Exponential Model with Correlated Observations

A. Pepelyshev, 2007 .

Optimal design for smoothing splines

V. Melas, H. Dette, A. Pepelyshev, 2011 .

Optimal designs for free knot least squares splines

V. Melas, H. Dette, A. Pepelyshev, 2006 .

The BLUE in continuous-time regression models with correlated errors

A. Zhigljavsky, H. Dette, A. Pepelyshev, 2019, The Annals of Statistics.

Best linear unbiased estimators in continuous time regression models

A. Zhigljavsky, H. Dette, A. Pepelyshev, 2016, 1611.09804.

Panel-based stratified cluster sampling and analysis for photovoltaic outdoor measurements

A. Pepelyshev, A. Steland, E. Sovetkin, 2017 .

D-Optimal Designs for Trigonometric Regression Models on a Partial Circle

V. Melas, H. Dette, A. Pepelyshev, 2002 .

Efficient Design of Experiment for Exponential Regression Models

H. Dette, A. Pepelyshev, Ignacio Martínez López, 2004 .

Optimal designs for composed models in pharmacokinetic–pharmacodynamic experiments

H. Dette, A. Pepelyshev, W. Wong, 2012, Journal of Pharmacokinetics and Pharmacodynamics.

Optimal designs for a class of nonlinear regression models

V. Melas, H. Dette, A. Pepelyshev, 2004, math/0503677.

Forecasting industrial production indices with a new singular spectrum analysis forecasting algorithm

A. Pepelyshev, S. Heravi, Sofia Borodich Suarez, 2023, Statistics and Its Interface.

Micro and nano scale statistical properties of rough surfaces of significance in their friction.

A. Pepelyshev, F. Borodich, O. Savencu, 2015 .

Optimal designs for three-dimensional shape analysis with spherical harmonic descriptors

V. Melas, H. Dette, A. Pepelyshev, 2005, math/0603075.

A web-based tool for designing experimental studies to detect hormesis and estimate the threshold dose

A. Pepelyshev, W. Wong, V. Casero-Alonso, 2018, Statistical Papers.

New insights on permutation approach for hypothesis testing on functional data

V. Melas, A. Pepelyshev, L. Salmaso, 2014, Advances in Data Analysis and Classification.

Optimal designs for dose-finding experiments in toxicity studies

Holger Dette, Weng Kee Wong, Andrey Pepelyshev, 2009, 0902.1426.

Improving updating rules in multiplicative algorithms for computing D-optimal designs

Holger Dette, Anatoly A. Zhigljavsky, Andrey Pepelyshev, 2008, Comput. Stat. Data Anal..

Optimal Designs for Dose-Finding Studies

Holger Dette, Frank Bretz, José Pinheiro, 2008 .

Efficient design of experiments in the Monod model

Holger Dette, Andrey Pepelyshev, B. Melas Viatcheslav, 2003 .

A web-based tool for designing experimental studies to detect hormesis and estimate the threshold dose

Andrey Pepelyshev, Víctor Casero-Alonso, Weng K. Wong, 2018, Statistical papers.

Optimal Experimental Design Strategies for Detecting Hormesis

Holger Dette, Weng Kee Wong, Andrey Pepelyshev, 2011, Risk analysis : an official publication of the Society for Risk Analysis.

Optimal designs for random effect models with correlated errors with applications in population phar

Holger Dette, Tim Holland-Letz, Andrey Pepelyshev, 2010, 1011.3333.

Uniform coverage designs for mixture experiments

Viatcheslav B. Melas, Irene Poli, Andrey Pepelyshev, 2009 .

Local c- and E-optimal Designs for Exponential Regression Models

Holger Dette, Viatcheslav B. Melas, Andrey Pepelyshev, 2006 .

Locally E-optimal designs for expo-nential regression models

Holger Dette, Viatcheslav B. Melas, Andrey Pepelyshev, 2003 .

The Role of the Nugget Term in the Gaussian Process Method

Andrey Pepelyshev, A. Pepelyshev, 2010, 1005.4385.

Optimal Design for the Bounded Log-Linear Regression Model

A. Pepelyshev, Haiying Wang, N. Flournoy, 2013 .

Roughness of Deposited Carbon-Based Coatings and Its Statistical Characteristics at Nano and Microscales

A. Pepelyshev, A. Clarke, E. Brousseau, 2019, Front. Mech. Eng..

New approaches to nonparametric density estimation and selection of smoothing parameters

Ansgar Steland, Nina Golyandina, Andrey Pepelyshev, 2012, Comput. Stat. Data Anal..

NPUA: A new approach for the analysis of computer experiments

Holger Dette, Andrey Pepelyshev, H. Dette, 2010 .

New insights on permutation approach for hypothesis testing on functional data

Luigi Salmaso, Viatcheslav B. Melas, Livio Corain, 2014, Adv. Data Anal. Classif..

Generalized Latin Hypercube Design for Computer Experiments

Holger Dette, Andrey Pepelyshev, H. Dette, 2010, Technometrics.

Robust and efficient design of experiments for the Monod model.

Holger Dette, Andrey Pepelyshev, Nikolay Strigul, 2005, Journal of theoretical biology.

Some robust design strategies for percentile estimation in binary response models

Holger Dette, Andrey Pepelyshev, Stefanie Biedermann, 2006 .

Design of Experiments for the Monod Model - Robust and Efficient Designs

Holger Dette, Nikolay Strigul, Viatcheslav B. Melas, 2004 .

Prediction in regression models with continuous observations

A. Zhigljavsky, H. Dette, A. Pepelyshev, 2019, 1908.04106.

'Nearly' universally optimal designs for models with correlated observations

Holger Dette, Anatoly A. Zhigljavsky, Andrey Pepelyshev, 2014, Comput. Stat. Data Anal..

On representing maximin efficient designs by Taylor series

V. Melas, A. Pepelyshev, 2007 .

Maximin efficient design of experiment for exponential regression models

Holger Dette, Andrey Pepelyshev, H. Dette, 2006 .

Maximin optimal designs for the compartmental model

Holger Dette, Andrey Pepelyshev, Stefanie Biedermann, 2003 .

Optimal designs for estimating individual coefficients in polynomial regression: a functional approach

V. Melas, H. Dette, A. Pepelyshev, 2001 .

Optimal designs for smoothing splines

V. Melas, H. Dette, A. Pepelyshev, 2007 .

Performance of global random search algorithms for large dimensions

Antanas Zilinskas, Anatoly Zhigljavsky, Andrey Pepelyshev, 2018, J. Glob. Optim..

Performance of global random search algorithms for large dimensions

A. Zhigljavsky, A. Pepelyshev, Andrey Pepelyshev, 2017, Journal of Global Optimization.

Real-time financial surveillance via quickest change-point detection methods

Andrey Pepelyshev, Aleksey S. Polunchenko, A. Pepelyshev, 2015, 1509.01570.

Probabilistic, Fractal, and Related Techniques for Analysis of Engineering Surfaces

A. Pepelyshev, Xiaoqing Jin, F. Borodich, 2020, Frontiers in Mechanical Engineering.

Analytic evaluation of the fractional moments for the quasi-stationary distribution of the Shiryaev martingale on an interval

Andrey Pepelyshev, Aleksey S. Polunchenko, Kexuan Li, 2019, Commun. Stat. Simul. Comput..

On the evaluation of an integral involving the Whittaker W function

Andrey Pepelyshev, Aleksey S. Polunchenko, A. Pepelyshev, 2021, J. Comput. Appl. Math..

Analytic moment and Laplace transform formulae for the quasi-stationary distribution of the Shiryaev diffusion on an interval

Aleksey S. Polunchenko, A. Pepelyshev, 2018, Statistical Papers.

Statistical approaches to description of rough engineering surfaces at nano and microscales

A. Pepelyshev, F. Borodich, O. Savencu, 2016 .

Adhesion of Soft Materials to Rough Surfaces: Experimental Studies, Statistical Analysis and Modelling

S. Gorb, A. Pepelyshev, E. Gorb, 2018, Coatings.

Permutation Testing for Alternative Nonlinear Models with Application to Aging Curves of Refrigerated Vehicles

Rosa Arboretti Giancristofaro, Livio Corain, S Franceschini, 2008 .

Acceptance sampling plans for photovoltaic modules with two‐sided specification limits

Ansgar Steland, Andrey Pepelyshev, Alejandro Avellan-Hampe, 2014 .

Study of impact of COVID-19 on industrial production indices using singular spectrum analysis

A. Pepelyshev, Sofia Borodich Suarez, 2023, Statistics and Its Interface.

Optimal designs for composed models in pharmacokinetic–pharmacodynamic experiments

H. Dette, A. Pepelyshev, W. Wong, 2012, Journal of Pharmacokinetics and Pharmacodynamics.

Quality Assessment in the Presence of Additional Data in Photovoltaics

Ansgar Steland, Andrey Pepelyshev, Sabine Meisen, 2012 .

Estimation of the quantile function using Bernstein–Durrmeyer polynomials

Ansgar Steland, Andrey Pepelyshev, Ewaryst Rafajłowicz, 2014 .

Designs for estimating an extremal point of quadratic regression models in a hyperball

Russell C. H. Cheng, Viatcheslav B. Melas, Andrey Pepelyshev, 2003 .