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Katja Ickstadt (1965-)

Mathematikerin

Name	Katja Ickstadt
Time	1965- (Date of birth and death)
Place	Berlin (Geburtsort) Dortmund (Wirkungsort) Deutschland
Gender	weiblich
Academic degree	Prof. Dr.
Profession	Mathematikerin (characteristic profession) Statistikerin
Related	Technische Universität Dortmund. Mathematische Statistik und Biometrische Anwendungen (Professorin, Lehrstuhlinhaberin) (2004-) Mathematik (Studienfach)
Further information	1989 Diplom; 1994 Promotion; 2001 Habilitation
Source	Homepage: https://www.statistik.tu-dortmund.de/ickstadt.html (Stand: 31.05.2017)
Record type	Person
GND-Identifier	1049714024
Record ID	1049714024
Involved in show all Bayesian statistics for clinical research : the transition from frequentist statistics, a graphical user interface for regression models, and an application to a clinical prediction model Is there a role for statistics in artificial intelligence? Is there a role for statistics in artificial intelligence? Is there a role for statistics in artificial intelligence? Bayesian and frequentist regression approaches for very large data sets Antibiotic resistances in livestock: a comparative approach to identify an appropriate regression model for count data Random projections for Bayesian regression Bayesian prediction for a jump diffusion process with application to crack growth in fatigue experiments Prediction of crack growth based on a hierarchical diffusion model Stochastic modeling and statistical analysis of fatigue tests on prestressed concrete beams under cyclic loadings Beyond unimodal regression: modelling multimodality with piecewise unimodal, mixture or additive regression Random projections for Bayesian regression Bayesian outlier detection in INGARCH time series Imputing missing genotypes with weighted k nearest neighbors Identification of SNP interactions using logic regression Comparison of the Empirical Bayes and the Significance Analysis of Microarrays A saddle point characterization for classes of priors with shape restricted densities Explicit inversive congruential pseudorandom numbers with power of two modulus Gamma-minimax results for the class of unimodal priors Minimax estimators for a bounded location parameter

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Katja Ickstadt (1965-)

Bayesian statistics for clinical research : the transition from frequentist statistics, a graphical user interface for regression models, and an application to a clinical prediction model

Is there a role for statistics in artificial intelligence?

Is there a role for statistics in artificial intelligence?

Is there a role for statistics in artificial intelligence?

Bayesian and frequentist regression approaches for very large data sets

Antibiotic resistances in livestock: a comparative approach to identify an appropriate regression model for count data

Random projections for Bayesian regression

Bayesian prediction for a jump diffusion process with application to crack growth in fatigue experiments

Prediction of crack growth based on a hierarchical diffusion model

Stochastic modeling and statistical analysis of fatigue tests on prestressed concrete beams under cyclic loadings

Beyond unimodal regression: modelling multimodality with piecewise unimodal, mixture or additive regression

Random projections for Bayesian regression

Bayesian outlier detection in INGARCH time series

Imputing missing genotypes with weighted k nearest neighbors

Identification of SNP interactions using logic regression

Comparison of the Empirical Bayes and the Significance Analysis of Microarrays

A saddle point characterization for classes of priors with shape restricted densities

Explicit inversive congruential pseudorandom numbers with power of two modulus

Gamma-minimax results for the class of unimodal priors

Minimax estimators for a bounded location parameter