Michael G. Schimek

发表

MSMAD: a computationally efficient method for the analysis of noisy array CGH data

Eva Budinska, Eva Gelnarova, Michael G. Schimek, 2009, Bioinform..

The History of Compstat and Key- Steps of Statistical Computing During the Last 30 Years

Wilfried Grossmann, Michael G. Schimek, Peter Paul Sint, 2004 .

Non-parametric regression techniques for biometric problems: Concepts and software

Michael G. Schimek, 1991, MIE.

The statistical computing environment XploRe and state-of-the-art density and regression smoothing

Michael G. Schimek, K. G. Schmaranz, M. Schimek, 1993 .

An Inference and Integration Approach for the Consolidation of Ranked Lists

Eva Budinska, Michael G. Schimek, Alena Mysicková, 2012, Commun. Stat. Simul. Comput..

Additive and generalized additive models: A survey

Michael G. Schimek, Berwin A. Turlach, B. Turlach, 1998 .

Comments on: Hierarchical inference for genome-wide association studies: a view on methodology with software by F. Frommlet and M. G. Schimek

Michael G. Schimek, Florian Frommlet, 2020, Comput. Stat..

Single Case Studies: The Time Series vs. the Smoothing Regression Approach

Michael G. Schimek, 1994 .

Visualization Techniques for the Integration of Rank Data.

Michael G. Schimek, Eva Budinská, 2010 .

Penalized Binary Regression as Statistical Learning Tool for Microarray Analysis

Michael G. Schimek, M. Schimek, 2006 .

A hierarchical clustering and data fusion approach for disease subtype discovery

Michael G. Schimek, Bastian Pfeifer, M. Schimek, 2020, bioRxiv.

Inference for the Top-k Rank List Problem

Michael G. Schimek, Peter Hall, P. Hall, 2008 .

Guest editorial: Semiparametric function estimation and testing

Michael G. Schimek, 2001, Stat. Comput..

Statistics on Ranked Lists

Michael G. Schimek, 2011, International Encyclopedia of Statistical Science.

A comparative study of false discovery rate procedures in R

Michael G. Schimek, Tomáš Pavlík, 2006 .

An Automatic Thresholding Approach to Gene Expression Analysis

Michael G. Schimek, Wolfgang Schmidt, M. Schimek, 2004 .

Integration of top-k list information inferred from pairedrankings.

Michael G. Schimek, Eva Budinská, Alena Myšičková, 2009 .

Unbiased Partial Spline Fitting under Autoregressive Errors

Michael G. Schimek, 2002, COMPSTAT.

Distributed Multimedia Systems: New Tools for the Statistician?

Michael G. Schimek, Klaus Schmaranz, 1995 .

Nonparametric and Robust Methods

Edgar Brunner, Michael G. Schimek, Rand R. Wilcox, 2007, Comput. Stat. Data Anal..

Partially Linear Models: A New Algorithm and some Simulation Results

Michael G. Schimek, M. Schimek, 1998, COMPSTAT.

Exploratory non-parametric and graphical procedures for top-k ranked lists

Michael G. Schimek, 2011 .

Package "TopKLists" for Rank-based Genomic Data Integration

Michael G. Schimek, Shili Lin, Eva Budinská, 2011 .

Genome Scans for Selection and Introgression based on k-nearest Neighbor Techniques

Pavlos Pavlidis, Michael G. Schimek, Nikolaos S. Alachiotis, 2019, bioRxiv.

A novel method for estimating the common signals for consensus across multiple ranked lists

Michael G. Schimek, Vendula Svendová, M. Schimek, 2017, Comput. Stat. Data Anal..

Integrative hierarchical ensemble clustering for improved disease subtype discovery

Michael G. Schimek, Nikolaos S. Alachiotis, Nikolaos Alachiotis, 2021, 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Smoothing and Regression: Approaches, Computation, and Application

Michael G. Schimek, M. Schimek, 2000 .

Moderate-Deviation-Based Inference for Random Degeneration in Paired Rank Lists

Michael G. Schimek, Peter Hall, P. Hall, 2012 .

Estimation and inference in partially linear models with smoothing splines

Michael G. Schimek, M. Schimek, 2000 .

Semiparametric penalized generalized additive models for environmental research and epidemiology

Michael G. Schimek, M. Schimek, 2009 .

Dependent error regression smoothing: a new method and PC program

Michael G. Schimek, M. Schimek, Klaus G. Schmaranz, 1994 .

Estimation in partially linear models

Michael G. Schimek, R. L. Eubank, M. Schimek, 1998 .

Penalized Logistic Regression in Gene Expression Analysis

Michael G. Schimek, M. Schimek, 2003 .

Acute effects of particulate matter on respiratory diseases, symptoms and functions:: epidemiological results of the Austrian Project on Health Effects of Particulate Matter (AUPHEP)

Boštjan Gomišček, Michael G. Schimek, Manfred Neuberger, 2004 .

Non- and Semiparametric Alternatives to Generalized Linear Models

Michael G. Schimek, 1997 .