M. Schlather

发表

Analogies and correspondences between variograms and covariance functions

T. Gneiting, Z. Sasvári, M. Schlather, 2001, Advances in Applied Probability.

Point Process Theory and Applications: Marked Point and Piecewise Deterministic Processes

M. Schlather, 2007 .

Simulation and Analysis of Random Fields

M. Schlather, 2001 .

Fast and Exact Simulation of Large Gaussian Lattice Systems in ℝ2: Exploring the Limits

T. Gneiting, M. Schlather, D. Percival, 2006 .

Interface Foundation of America Fast and Exact Simulation of Large Gaussian Lattice Systems in R 2 : Exploring the Limits Author ( s ) :

T. Gneiting, M. Schlather, D. Percival, 2011 .

Matérn Cross-Covariance Functions for Multivariate Random Fields

T. Gneiting, M. Schlather, W. Kleiber, 2010 .

HaploBlocker: Creation of Subgroup-Specific Haplotype Blocks and Libraries

M. Schlather, G. de los Campos, H. Simianer, 2019, Genetics.

Modeling and Simulation of Bivariate Gaussian Random Fields

M. Schlather, O. Moreva, 2016 .

Estimation of Hüsler–Reiss distributions and Brown–Resnick processes

M. Schlather, Z. Kabluchko, Sebastian Engelke, 2012, 1207.6886.

A construction principle for multivariate extreme value distributions

Martin Schlather, Felix Ballani, M. Schlather, 2011 .

A Network-Based Kernel Machine Test for the Identification of Risk Pathways in Genome-Wide Association Studies

Christopher I. Amos, Thomas Kneib, Jenny Chang-Claude, 2014, Human Heredity.

A dependence measure for multivariate and spatial extreme values: Properties and inference

Jonathan A. Tawn, Martin Schlather, M. Schlather, 2003 .

Some covariance models based on normal scale mixtures

Martin Schlather, M. Schlather, 2011 .

Models for Stationary Max-Stable Random Fields

Martin Schlather, M. Schlather, Martin Schlather, 2002 .

Stationary max-stable fields associated to negative definite functions.

Laurens de Haan, Zakhar Kabluchko, Martin Schlather, 2008, 0806.2780.

Conditional Modelling of Extreme Wind Gusts by Bivariate Brown-Resnick Processes

M. Schlather, P. Friederichs, M. Oesting, 2013 .

On the second-order characteristics of marked point processes

Martin Schlather, M. Schlather, Martin Schlather, 2001 .

Detecting dependence between marks and locations of marked point processes

Peter J. Diggle, Paulo Justiniano Ribeiro, Martin Schlather, 2004 .

Intrinsically weighted means and non-ergodic marked point processes

M. Schlather, Zhengjun Zhang, A. Malinowski, 2016 .

Random Marked Sets

Zakhar Kabluchko, Martin Schlather, Felix Ballani, 2012, Advances in Applied Probability.

Predicting Genetic Values: A Kernel-Based Best Linear Unbiased Prediction With Genomic Data

Emilio Porcu, Henner Simianer, Malena Erbe, 2011, Genetics.

A risk index for characterising flow pattern in soils using dye tracer distributions.

Bernd Huwe, Martin Schlather, M. Schlather, 2005, Journal of contaminant hydrology.

A parametric model bridging between bounded and unbounded variograms

M. Schlather, O. Moreva, Martin Schlather, 2017 .

Covariance Models for Divergence-Free and Curl-Free Random Vector Fields

Michael Scheuerer, Martin Schlather, M. Schlather, 2012 .

Modeling and Simulation of Bivariate Gaussian Random Fields

M. Schlather, O. Moreva, 2016, 1609.06561.

Advances and challenges in space-time modelling of natural events

Emilio Porcu, José-María Montero, Martin Schlather, 2012 .

Some Results for Extreme Value Processes in Analogy to the Gaussian Spectral Representation

M. Schlather, Andree Ehlert, 2010 .

The realization problem for tail correlation functions

M. Schlather, U. Fiebig, K. Strokorb, 2014, Extremes.

Tail correlation functions of max-stable processes

M. Schlather, F. Ballani, K. Strokorb, 2015, Extremes.

Systematic co-occurrence of tail correlation functions among max-stable processes

M. Schlather, F. Ballani, K. Strokorb, 2014, 1402.4632.

Stochastic Models That Separate Fractal Dimension and the Hurst Effect

Tilmann Gneiting, Martin Schlather, T. Gneiting, 2001, SIAM Rev..

Fast and exact simulation of univariate and bivariate Gaussian random fields

M. Schlather, O. Moreva, 2018 .

From Estimation to Prediction of Genomic Variances: Allowing for Linkage Disequilibrium and Unbiasedness

M. Schlather, Nicholas Schreck, Martin Schlather, 2018, bioRxiv.

HaploBlocker: Creation of subgroup specific haplotype blocks and libraries

M. Schlather, G. de los Campos, H. Simianer, 2018, bioRxiv.

Statistical post-processing of forecasts for extremes using bivariate brown-resnick processes with an application to wind gusts

M. Schlather, P. Friederichs, M. Oesting, 2013, 1312.4584.

Bivariate Covariance Functions of Pólya Type

M. Schlather, O. Moreva, 2016, 1609.06561.

Marked point process adjusted tail dependence analysis for high-frequency financial data

M. Schlather, Zhengjun Zhang, Alexander Malinowski, 2015 .

Analysis, simulation and prediction of multivariate random fields with package random fields

Peter J. Menck, M. Schlather, K. Strokorb, 2020 .

Covariance models for multivariate random fields resulting from pseudo cross-variograms

M. Schlather, Christopher Dorr, 2022, Journal of Multivariate Analysis.

Edge systems of time-dependent incomplete Poisson Voronoi tessellations

M. Schlather, D. Stoyan, 1999 .

Gene-Based Mapping and Pathway Analysis of Metabolic Traits in Dairy Cows

M. Schlather, H. Simianer, J. Gross, 2015, PloS one.

Characterizing extremal coefficient functions and extremal correlation functions

M. Schlather, K. Strokorb, 2012, 1205.1315.

Stochastic Models That Separate Fractal Dimension and the Hurst Effect

T. Gneiting, M. Schlather, Martin Schlather, 2001, SIAM Rev..

da taa n ] 1 3 Se p 20 01 Stochastic models which separate fractal dimension and Hurst effect

T. Gneiting, M. Schlather, 2022 .

The realization problem for tail correlation functions

M. Schlather, U. Fiebig, K. Strokorb, 2016, Extremes.

Joint extremal behavior of hidden and observable time series with applications to GARCH processes

M. Schlather, U. Fiebig, Andree Ehlert, 2014, Extremes.

Statistical post-processing of forecasts for extremes using bivariate brown-resnick processes with an application to wind gusts

M. Schlather, P. Friederichs, M. Oesting, 2016, Extremes.

On Some Connections between Light Tails , Regular Variation and Extremes

M. Schlather, 2010 .

A Novel Kernel for Correcting Size Bias in the Logistic Kernel Machine Test with an Application to Rheumatoid Arthritis

Martin Schlather, Thomas Kneib, Saskia Freytag, 2013, Human Heredity.

A Model for Carrier-Mediated Biological Signal Transduction Based on Equilibrium Ligand Binding Theory

M. Schlather, J. Martini, Stefan Schütz, 2016, Bulletin of Mathematical Biology.

A parametric variogram model bridging between stationary and intrinsically stationary processes

M. Schlather, Martin Schlather, 2014, 1412.1914.

Limit distributions of norms of vectors of positive i

M. Schlather, 2001 .

Best Prediction of the Additive Genomic Variance in Random-Effects Models

M. Schlather, H. Piepho, Nicholas Schreck, 2019, Genetics.

Analysis, Simulation and Prediction of Multivariate Random Fields with Package RandomFields

Martin Schlather, Alexander Malinowski, Peter J. Menck, 2015 .

The Expected Linkage Disequilibrium in Finite Popula- tions Revisited

M. Schlather, H. Simianer, Ulrike Ober, 2013, 1304.4856.

Using Whole-Genome Sequence Data to Predict Quantitative Trait Phenotypes in Drosophila melanogaster

Daniel Gianola, Henner Simianer, Richard A. Gibbs, 2012, PLoS genetics.

A Scale-Corrected Comparison of Linkage Disequilibrium Levels between Genic and Non-Genic Regions

M. Schlather, G. de los Campos, H. Simianer, 2015, PloS one.

Analysis of porcine body size variation using re-sequencing data of miniature and large pigs

M. Schlather, S. Pant, K. Waldmann, 2018, BMC Genomics.

Accounting for Genetic Architecture Improves Sequence Based Genomic Prediction for a Drosophila Fitness Trait

Henner Simianer, Wen Huang, Martin Schlather, 2015, PloS one.

Origin Detection During Food-borne Disease Outbreaks - A Case Study of the 2011 EHEC/HUS Outbreak in Germany

Dirk Helbing, Dirk Brockmann, Thomas Kneib, 2014, PLoS currents.

Correction: Accounting for Genetic Architecture Improves Sequence Based Genomic Prediction for a Drosophila Fitness Trait

M. Schlather, T. Mackay, M. Magwire, 2015, PloS one.

A Model for Carrier-Mediated Biological Signal Transduction Based on Equilibrium Ligand Binding Theory

Stefan Schütz, Martin Schlather, M. Schlather, 2016, Bulletin of Mathematical Biology.

Characterization Theorems for Pseudo-Variograms

Martin Schlather, Christopher Dorr, M. Schlather, 2021, 2112.02595.

A general class of mosaic random fields

M. Schlather, J. Potthoff, Dimitri Schwab, 2017, 1709.01441.

An exceptional max-stable process fully parameterized by its extremal coefficients

Kirstin Strokorb, Martin Schlather, M. Schlather, 2015, 1504.03459.

Tail correlation functions of max-stable processes

Kirstin Strokorb, Martin Schlather, Felix Ballani, 2015 .

Joint extremal behavior of hidden and observable time series with applications to GARCH processes

M. Schlather, U. Fiebig, Andree Ehlert, 2011, 1107.0493.

Capturing the multivariate extremal index: bounds and interconnections

M. Schlather, Andree Ehlert, 2008 .

Agglomeration Economies in Ukrainian Dairy Sector: a Marked Point Process Approach

M. Schlather, Bernhard Brümmer, O. Nivievskyi, 2010 .

Using scoring functions to evaluate point process forecasts

Tilmann Gneiting, Kirstin Strokorb, Martin Schlather, 2021 .

Interpolation of spatial data – A stochastic or a deterministic problem?

Robert Schaback, Michael Scheuerer, Martin Schlather, 2013, European Journal of Applied Mathematics.

Editorial New Features in Version 1.3.0 New Features in Version 1.2.3 New Features in Version 1.2.2 Changes on Cran Genesom Clustering Genes Using Self-organizing Rmysql Database Interface and Mysql Driver For

K. Hornik, T. Lumley, J. Rougier, 2022 .

A stochastic model for 3-dimensional flow patterns in infiltration experiments

M. Schlather, B. Huwe, Martin Schlather, 2005 .

An Approach towards a Practicable Assessment of Neonatal Piglet Body Core Temperature Using Automatic Object Detection Based on Thermal Images

M. Schlather, I. Traulsen, Steffen Küster, 2023, Agriculture.

MoBPS - Modular Breeding Program Simulator

Torsten Pook, Henner Simianer, Martin Schlather, 2019, bioRxiv.

Efficient Calculation of the Genomic Relationship Matrix

Martin Schlather, M. Schlather, 2020, bioRxiv.

A new approach to treatment assignment for one and multiple treatment groups

M. Schlather, S. Schneider, Sebastian O. Schneider, 2017 .

Continuity of Random Fields on Riemannian Manifolds

M. Schlather, J. Potthoff, Dimitri Schwab, 2016, 1607.05859.

A reaction norm sire model to study the effect of metabolic challenge in early lactation on the functional longevity of dairy cows.

M. Schlather, H. Simianer, J. Gross, 2017, Journal of dairy science.

Accelerated computations for iterative-solver techniques in single-step BLUP models

M. Schlather, J. T. Napel, T. Pook, 2023, bioRxiv.

The Modular Breeding Program Simulator (MoBPS) allows efficient simulation of complex breeding programs

Torsten Pook, Henner Simianer, Martin Schlather, 2021, Animal Production Science.

Assessing breed integrity of Göttingen Minipigs

M. Schlather, H. Simianer, C. Reimer, 2020, BMC Genomics.

Sampling sup‐normalized spectral functions for Brown–Resnick processes

M. Schlather, M. Oesting, C. Schillings, 2019, Stat.

A generalization of Matérn hard-core processes with applications to max-stable processes

Martin Schlather, Martin Dirrler, Christopher Dörr, 2017, Journal of Applied Probability.

Random Sequential Adsorption: Relationship to Dead Leaves and Characterization of Variability

Dietrich Stoyan, Martin Schlather, M. Schlather, 2000 .

A semi-group approach to Principal Component Analysis

Martin Schlather, Felix Reinbott, M. Schlather, 2021, 2112.04026.

A derivation of the Grand Canonical Partition Function for systems with a finite number of binding sites using a Markov chain model for the dynamics of single molecules

M. Schlather, M. Habeck, J. Martini, 2014, Journal of Mathematical Chemistry.

The meaning of the decoupled sites representation in terms of statistical mechanics and stochastics

G. Matthias Ullmann, Johannes W. R. Martini, Martin Schlather, 2013 .

On the interaction of two different types of ligands binding to the same molecule part I: basics and the transfer of the decoupled sites representation to systems with n and one binding sites

G. Matthias Ullmann, Johannes W. R. Martini, Martin Schlather, 2013, Journal of Mathematical Chemistry.

On the interaction of different types of ligands binding to the same molecule Part II: systems with n to 2 and n to 3 binding sites

G. Matthias Ullmann, Johannes W. R. Martini, Martin Schlather, 2013, Journal of Mathematical Chemistry.

A Matern based multivariate Gaussian random process for a consistent model of the horizontal wind components and related variables

M. Schlather, P. Friederichs, A. Hense, 2017, 1707.01287.

Accelerated matrix-vector multiplications for matrices involving genotype covariates with applications in genomic prediction

M. Schlather, T. Pook, J. Vandenplas, 2023, bioRxiv.

Examples for the coefficient of tail dependence and the domain of attraction of a bivariate extreme value distribution

Martin Schlather, M. Schlather, 2001 .

Exact and fast simulation of max-stable processes on a compact set using the normalized spectral representation

M. Schlather, Chen Zhou, M. Oesting, 2018 .

Conditionally Max-stable Random Fields based on log Gaussian Cox Processes

M. Schlather, K. Strokorb, M. Dirrler, 2016, 1612.04576.

On the Normalized Spectral Representation of Max-Stable Processes on a Compact Set

M. Schlather, Chen Zhou, M. Oesting, 2013, 1310.1813.

Ergodic properties of max-infinitely divisible processes

Zakhar Kabluchko, Martin Schlather, M. Schlather, 2009, 0905.4196.

Creation of subgroup specific haplotype blocks and libraries

M. Schlather, H. Simianer, T. Pook, 2018 .

HaploBlocker: Creation of Subgroup-Specific Haplotype Blocks and Libraries

M. Schlather, G. de los Campos, H. Simianer, 2018, Genetics.

A Network-Based Kernel Machine Test for the Identification of Risk Pathways in Genome-Wide Association Studies

M. Schlather, J. Chang-Claude, C. Amos, 2014, Human Heredity.

Analysing flow patterns from dye tracer experiments in a forest soil using extreme value statistics

Christina Bogner, Benjamin Wolf, Bernd Huwe, 2007 .

Conditional sampling for max-stable processes with a mixed moving maxima representation

M. Schlather, M. Oesting, Martin Schlather, 2012, Extremes.

Space-Time Processes and Geostatistics

Gema Fernández-Avilés, José-María Montero, Martin Schlather, 2012 .

An equivalent representation of the Brown-Resnick process

M. Schlather, Z. Kabluchko, Sebastian Engelke, 2011 .

Intrinsically Weighted Means of Marked Point Processes

M. Schlather, Zhengjun Zhang, Alexander Malinowski, 2012, 1210.1335.

Statistical Inference for Max-Stable Processes by Conditioning on Extreme Events

Alexander Malinowski, Marco Oesting, Sebastian Engelke, 2014, Advances in Applied Probability.

High-level dependence in time series models

C. Klüppelberg, M. Schlather, V. Fasen, 2010 .

Construction of Covariance Functions and Unconditional Simulation of Random Fields

Martin Schlather, M. Schlather, 2012 .

Comparative evaluation of point process forecasts

T. Gneiting, M. Schlather, W. Marzocchi, 2021, Annals of the Institute of Statistical Mathematics.

A queueing model of visual search

M. Schlather, E. Erdfelder, Yiqi Li, 2023, Journal of Mathematical Psychology.