Vorträge / Talks

 SFB 386


Kommende Vorträge / Coming Talks

Ältere Vorträge / Older Talks 2004 - ...
Donna Pauler Ankerst Longitudinal Biomarkers for Prediction of Cancer and Time to Recurrence
Renato Martins Assunção A space-time surveillance system for the detection of emerging clusters in point processes
Sudipto Banerjee Hierarchical Bayesian Models and their Implementation in Multivariate Disease Mapping
Sudipto Banerjee On Assessing Curvilinear Gradients under Spatial Process Models
Peter Brockwell Fractional Integration of Continuous-Time ARMA Processes
Peter Brockwell Non-linear Continuous-time Gaussian Autoregression
Peter Brockwell Some continuous-time nonlinear models in finance
Tianxi Cai Mixed Model Based Hazard Regression
Chi-Lun Cheng On Estimating Linear Relationships when Both Variables are Subject to Heteroscedastic Measurement Errors
Frank Coolen Nonparametric predictive inference for multinomial data
Ciprian M. Crainiceanu Bivariate Binomial Spatial Modelling of Loa loa Prevalence in Tropical Africa
Laurens de Haan Statistical Inference for Heavy and Super-Heavy Tailed Distributions
Michel Denuit Lee-Carter Type Models for Mortality Projection
Luc Devroye New Algorithms for Exact Random Variate Generation
Klaus Dietz Mathematische Infektionsepidemiologie: die Anfänge
Paul Eilers Fast P-spline Smoothing on Multidimensional Grids
Jochen Einbeck On Statistical Modelling with Random Effects using Mixture Models
Paddy Farrington Estimation of varying contact rates in epidemic models for large populations
Thomas Gerds Prediction Error for Censored Event History Analysis
Tilmann Gneiting Geostatistical space-time models, stationarity, separability and full symmetry
Charles Goldie Random Recurrences: Useful Knowledge and Current Frustrations
Markus Hahn Markov Chain Monte Carlo Methods for Parameter Estimation in Markov Switching Models.
Anton Hartmann Bacteria-bacteria and bacteria-plant communication in the rhizosphere
Hermann Held Generalised Bayesian Learning in View of Climate Prediction
Torsten Hothorn Survival Ensembles
Prof. Dr. Friedrich Hubalek On the minimal entropy martingale measure, the Esscher transform, and other changes of measure for Levy-driven asset price models with and without stochastic volatility
Marie Huskova Change Point Analysis in regression Models
Katja Ickstadt Logische Regression zur Klassifikation und Variablenselektion genetischer Daten
Albrecht Irle Pattern Recognition for Dependent Observations - Bayes Procedures and Nearest Neighbor Procedures
Göran Kauermann Penalized Spline Smoothing and Generalized Linear Mixed Models - Some Theory and Applications
Ingo Klein Subcopulas - Theorie und Anwendungen
Alexander Kukush Invariant Estimator in a Quadratic Measurement Error Model
Alexander Kukush On Conditional Non-Extreme Quantiles Estimator
Alexander Kukush Quasi-Likelihood is More Efficient than Corrected Score in a Nonlinear Measurement Error Model
Alexander Kukush Asymptotically optimal quasi-score estimator when nuisance parameter is unknown
Emmanuel Lesaffre Flexible modelling of the random effect & error structure in linear mixed models and survival models
Emmanuel Lesaffre On the estimation of the misclassification table for count data with an application in caries research
Andrii Malenko Consistency of unusual SIMEX in a polynomial EIVM
Brian Marx Modern Regression in Chemometrics
Brian Marx Variations on the Varying Coefficient Model
Jesper Møller The Permanent Process
Toni Monleón-Getino Drugs Clinical Trial Optimization by Means of Discrete Event Simulation, its Modeling and Validation (Slides)
Stephan Morgenthaler Robuste Lineare Modelle
Peter Mueller FDR and Bayesian decision rules
Axel Munk Äquivalenzstudien in der pharmazeutischen Forschung - geometrische Methoden füer statistische Probleme
Samuel M. Mwalili A Bayesian Ordinal Logistic Regression Model to Correct for Inter-observer Measurement Error in a Geographical Oral Health Study
Vicente Nunez-Anton Alternative regression models for censored data. From the PH model to the modified semiparametric AFT model
Joachim Ohser Verarbeitung und Analyse von 3D-Bildern - mathematische Grundlagen und Anwendungen -
Liang Peng Variance Reduction in Nonparametric Regression Models
Victor Perez-Abreu On the Asymtoptics of the Mean Spectral Distribution for a Class of Type G Random Matrices
Jörg Polzehl Structural adaptive smoothing by Propagation-Separation-methods
Jeno Reiczigel A Bootstrap Test of Stochastic Equality of Two Populations
Gerd Ronning Mikrooekonometrische Aspekte der Anonymisierung von diskreten Merkmalen durch PRAM
Martin Rosemann Auswirkungen von datenveraendernden Anonymisierungsverfahren bei metrischen Variablen auf das Analysepotenzial wirtschaftsstatistischer Einzeldaten
Donald B. Rubin The design versus the analysis of observational studies:parallels with the design of randomized trials
Ingo Ruczinski Functional Inferences from Blind ab Initio Protein Structure Predictions
Konrad Sandau Fraktale Dimension als Konzept zur Messung komplexer Randstrukturen in digitalen Bildern
Peter Schlattmann Simultaneous regularization and classification of the EEG inverse problem with a Normal-Mixture prior
Matthias Schmid Auswirkungen von Mikroaggregation auf die Schätzung linearer Modelle
Volker Schmid A Bayesian framework for pharmacokinetic modelling in dynamic contrast-enhanced magnetic resonance cancer imaging
Prof. Shalabh On the Usefulness of Knowledge of Error Variances in the Consistent Estimation of an Unreplicated Ultrastructural Model
Sergiy Shklyar Comparison of Three Estimators in the Poisson Errors-in-Variables Model
Peter Song Maximization by Parts in Likelihood Inference
Samuel Soubeyrand Specifying a hidden random process by using residuals
Ulrich Stadtmüller Generalized Functional Linear Models
Klaus Stark Surveillance von Infektionskrankheiten in Deutschland: Grundlagen und Beispiele
Karsten Tabelow Adaptive weights smoothing in the analysis of fMRI data
Jeffrey Thompson A review of measurement error models and generalized simple measurement error models with instrumental variables
Matthias Troffaes Robust Sequence Alignment with Uncertain Evolutionary Distance by Dynamic Programming
Berwin A. Turlach Monotone penalised spline smoothing
Christiano Varin Composite likelihood methods in Markov chain models
David Veredas On the (intradaily) seasonality and dynamics of a financial point process: A semiparametric approach
Helga Wagner Auxiliary Mixture Sampling for Dynamic Survival Models
Joe Whittaker Graphical models for components


Ältere Vorträge / Older Talks 2001 - 2003
Ariel Alonso Investigating the Criterion Validity of Psychiatric Symptom Scales using Surrogate Marker Validation Methodology for Repeated Measurements
R. S. Anderssen Estimating the Number of Active Genes in Wheat Endosperm
Nicole Augustin Forestry Monitoring Data in Baden-Württemberg
Adrian Baddeley Spatial Survival Analysis
Guus Balkema Convex duality and Laplace transforms
Ralf Bender Das Problem von Fehlern in den Variablen in epidemiologischen Studien: Überlegungen zum Cox-Modell mit Berkson-Fehler
Thomas Bjork A Geometric View of Interest Rate Theory
Kurt Braennaes Integer Valued MA Processes
Raymond Carroll Longitudinal and Clustered Data and Non/Semiparametric Regression
Chi-Lun Cheng Model Selection in Linear Measurement Error Models
Ching-Fan Chung Switching Regimes in Time Series with Applications in Financial Data Analyses
Frank Coolen Bayesian Graphical Modelling for Software Testing
Frank Coolen Nonparametric Predictive Inference with Right-Censored Data
Frank Coolen Nonparametric Predictive Inference in Reliability
Ori Davidov Inference for the Structural Segment Model
Ori Davidov Estimation from retrospectively ascertained data - on what to condition?
Bärbel Finkenstädt Statistische Populationsdynamik
Kostas Fokianos Power Divergence Family of Tests for Categorical Time Series Models
Kostas Fokianos Combining information for semiparametric density estimation
Herwig Friedl Generalisierte Lineare Mischmodelle für zensierte Daten
S. Frühwirth-Schnatter Strategies for Improving Bayesian Inference Using MCMC
Alan Gelfand Bayesian Nonparametric Approaches for Median and Quantile Regression Problems
Frank Gerhard A Simple Dynamic For Limited Dependent Variables
Axel Göttlein Auswertungen zu Waldzustand und Bodenazidität im Bereich des Forstamtes Rothenbuch / Spessart
Joachim Grammig Internationally cross-listed stock prices during overlapping trading hours: Price discovery and exchange rate effects
Reinhold Hafner The Dynamics of DAX Implied Volatilities
Juha Heikkinen Trans-dimensional models for nonparametric Bayesian surface estimation
Christian Hipp Asymptotik der kontrollierten Ruinwahrscheinlichkeit im Lundbergmodell
Michael Höhle Disease Management at Pig Farm Level by Stochastic Epidemic Models
Tai Hsing The Broken Sample Problem
Tailen Hsing Canonical Correlations: A Reproducing Kernel Hilbert Space Perspective
Göran Kauermann P-Spline Smoothing and Mixed Models
Alexander Kukush On Consistent Estimator in Multivariate Functional Linear Relations with Unequally Sized Errors
Rebecca Lenz-Tönjes Das Problem von Fehlern in den Variablen in epidemiologischen Studien: Überlegungen zum Cox-Modell mit Berkson-Fehler
Dorothy Mackerras The Aboriginal Birth Cohort Study
Ross Maller Regression with Stationary or Non-stationary Residuals
Ulrich Mansmann Bayes'sche Ansätze für intervallzensierte Daten: Beispiele, Probleme, Lösungen
Brian Marx Smooth Regression Coefficient Surfaces
Antonietta Mira Improving efficiency of Markov chain Monte Carlo methods with applications to change point problems and pharmacokinetic models in a Bayesian setting
Geert Molenberghs The Use of Score Tests for Inference of Variance Components
Tony Morton-Jones Isotonic Regression: A Bayesian MCMC Approach
Pietro Muliere Exchangeability and Predictive Inference
Monica Musio Forestry Monitoring Data in Baden-Württemberg
Maria Ana Odejar Bayesian Analysis of the Stochastic Switching Regression Model Using Markov Chain Monte Carlo Methods
Jim Oeppen How much Life Expectancy can you buy for a Dollar?
Phil O'Neill Bayesian inference for epidemics with two levels of mixing
Serguei Pergamenchtchikov Properties of the ruin function for insurance models with risky investment
Jukka Ranta Predicting salmonella infections in the primary production chain of broilers
Havard Rue Gaussian Markov Random Fields: a short introduction with some applications in spatial statistics
Burkhard Schaffrin Integrating Heterogeneous Data Sets With Partial Inconsistencies
G. Seeber Kopf an Kopf? Zur Enttarnung einer medialen Inszenierung
Clelia di Serio Statistical strategies in approaching multifactorial genetics diseases
Glenn Shafer Replacing Measure Theory with Game Theory as a Foundation for Probability
Dr. Shalabh Role of non-linear combination of inconsistent estimators in consistent estimation of parameters in measurement error model
Michael Smith Nonparametric Regression Using Linear Combination Of Basis Terms
Murray Smith Modelling Sample Selection Using Archimedean Copulas
Peter Svedberg Undernutrition Overestimated
Alexander Szimayer Testing for Mean Reversion in Processes of Ornstein-Uhlenbeck Type
Gerald van den Boogaart Generalisierte lineare Modelle, Markovsche Zufallsfelder und Graphische Modelle: Eine Zusammenschau
Angelika van der Linde Lineare Diskrimination
Stephen B. Vardeman Likelihood-Based Inference in Some Continuous Exponential Families with Unknown Threshold Parameters
Reinhard Vonthein Parametrisierung mehrstufiger Modelle für Dosis-Wirkungs-Kurven
Simon Wood A Framework for Generalized Additive Modelling with Penalized Regression Splines
Ronghui Xu Random Effects Models for Censored Failure Time Data
Myeong-Su Yun Comparing Inequalities Using Earnings Equations
Walter Zucchini Hidden Markov Models - A class of general-purpose models for time series data


Ältere Vorträge / Older Talks 1998 - 2000
O. O. Aalen A Frailty Model for the Incidence of Testicular Cancer
O. O. Aalen Understanding the Shape of the Hazard Rate: The Use of Quasi-Stationary Distributions in First Passage-Time Models
P. Albert Modelling Repeated Measures With Monotonic Ordinal Responses and Misclassification: With Applications to Studying Maturation
P. Albert Generalized Estimating Equations for the Analysis of Spatially Correlated Binary and Count Data
H. Alderman Reducing Child Malnutrition: How Far Does Income Growth Take Us?
H. Alderman Do Local Officials Know Something We Don't? Decentralization of Targeted Transfers in Albania.
A. Anastasopoulou Cancer Clinical Trials: Methodology and Design
R. S. Anderssen Solving Practical Inverse Problems
R. S. Anderssen Assessing Quantifikation and Stability for the EMS Algorithm
A. Azzalini The Skew-Normal Distribution
M. Beibel Test mit Macht Eins in change-point Modellen für die Brownsche Bewegung
J. Booth The Monte Carlo EM Algorithm
N. Breslow Approximate Hierarchical Modeling of Discrete Data in Epidemiology
N. Breslow Design and Analysis of Two Phase Studies with Binary Outcome: An Illustration
T. Briegel, V. Tresp Fisher Scoring and a Mixture of Modes Approach for Approximate Inference and Learning in Nonlinear State Space Models
C. L. Cheng On the Polynomial Berkson Model
N. Cressie Fast Spatial Prediction Of Global Processes From Satellite Data
L. Davies Nicht-parametrische Regression und die Approximation von Daten durch stochastische Modelle
D. Edwards Model Certainty and Randomized Clinical Trials
J. Ermish Parental Support for Human Capital Investment by Young Men
K. Fokianos On Combining Instruments
S. Fruehwirth-Schnatter Capturing Consumer Heterogeneity Using Bayesian Mixture Models
D. Gamerman Bayesian Analysis of Epidemiological Time Series
S. Gasmi Statistik fuer Ausfall-Reparatur-Prozesse mit unvollstaendiger Erneuerung
A. Gelfand Bayesian Approaches for Misaligned Data Layers and the Modifiable Areal Unit Problem
A. Gelfand Nonparametric Modeling for Stochastic Order
A. Gemperli Eine Verbesserung der Behandlung von Apnoen mit Hilfe der Zeitreihenanalyse
P. Giudici Issues in MCMC Model Comparison for Large Graphical Models
J. Hart Smoothing Autocorrelated Data
E. Herrmann Konsistenzaussagen von nichtparametrischen Regressionsschätzern
C. Heuer Analyse von Zeittrends in Krankheitsraten mit Regressionssplines
S. G. Hilsenbeck Design, Analysis and Interpretation of cDNA Expression Array Experiments
J. Hobert Stability Relationships Among the Gibbs Sampler and its Subchains
H. Hruschka Die Modellierung der Markenwahl. Anwendungen des bedingten MNL Modells oder kuenstlicher neuraler Netzwerke (KNN)
U. Huebner, P. Herrmann Konzeptionelle Entwicklung und praktischer Einsatz von digitalen Messwerterfassungssystemen in der Neurochirurgie und der Anaesthesie
R. Hujer The Effects of Public Sector Sponsored Training on Unemployment Duration in West Germany - A Discrete Hazard Rate Model based on a Matched Sample
B. Jorgensen Parameter Orthogonality and Bias Adjustment for Estimating Functions
G. Kauermann Edge Preserving Smoothing by Local Mixed Modelling
N. Keiding Inference from Observational Epidemiology: Beyond Multistate Models
M. Koetterl BioBench - Physiological Data Acquisition and Data Analysis with LabVIEW
V. I. Koltchinskii Rademacher Penalties in Statistical Learning Problems
J. Kuha Joint Modelling of Measurement Errors and Missing Values
J. Kuha Model Adequacy and Model Choice in the analysis of Large Data Sets
A. Kukush On a Corrected Contrast Estimator in Nonlinear Error-in Variables Model
A. Kukush Errors-in-Variables, Infill Asymptotics and Kriging
J. B. Lang Ordinal Regression Models with Data-Driven Links
S. L. Lauritzen Causal Inference from Graphical models
X. Lin Covariate Measurement Errors in Frailty Models for Clustered Survival Data
X. Lin Is Correct Specification of Correlation Always the Best Strategy for Analyzing Clustered Data? Nonparametric and Semiparametric Regression
B. Marx On Ill-Conditioned Generalized Estimating Equations and Toward Unified Biased Estimation
H. J. Mittag, D. Stemann Multimedia-Lernsoftware fuer die Statistikausbildung
H. G. Müller Modelle für glatte Regressionsfunktionen mit Sprüngen
P. Mueller Non-Parametric Bayesian Inference
P. Mueller Hierarchical Meta-Analysis Over Related Non-Parametric Bayesian Models
Y. Nikitin Pitman Efficiency for Tests of Independence based on Gini's Rank Association Coefficient and on Spearman's Footrule
R. A. Olshen k-Means Clustering and Intermediate Phenotypes
J. Opsomer Nonparametric Regression with Correlated Errors
J. Opsomer Local Polynomial Regression Estimation in Survey Sampling
U. Poetter, G. Rohwer Probleme der Anwendung von Buckley James Schätzgleichungen bei zensierten Daten
W. Pohlmeier Zur Marktstruktur von Finanzmaerkten: Oekonometrische Evidenz auf der Grundlage von Transaktionsdaten
S. M. Prigarin Simulation of Random Fields: Algorithms and Applications
S. Raessler Imputationstechniken bei systematischen Datenausfaellen
P. Rammelt Lernen in Bayes'schen Netzen
S. Richardson Bayesian Measurement Error Modelling
H. Rieder Robuste Kalman-Filter
H. Rieder Neighborhoods as Nuisance Parameters? Robustness vs. Semiparametrics
E. Rödel Verarbeitung von Zusatzinformationen in Schaetzproblemen durch stochastisches Suchen
H. Rue Fast Sampling of Gaussian Markov Random Fields with Applications
D. Rueegg Frei konfigurierbares Daten-Akquisitions- und Analyseprogramm fuer physiologische Experimente basierend auf LabVIEW und Oracle
Penti Saikkonen Testing for a Unit Root in a Time Series with a Level Shift at Unknown Time
T. J. Santner Empirical Best Linear Unbiased Prediction in Computer Experiments based on the Spectral Density
B. Schaffrin On the suboptimal network densification
T. Scheike Sampling Corrected Time-Varying Coefficient Models for Longitudinal Data
T. Schweder Frequentist Versions of Posteriors and Priors
S. Sen Genes, Proteins and Uncertainty
J. Shao Approximate Balanced Half Sample and Related Replication Methods for Imputed Survey Data
Dr. Shalabh Stein-Rule Estimation in Multivariate Ultrastructural Model
N. A. Sheehan Markov Chain Monte Carlo Applications in Pedigree Analysis: I. The Method
N. A. Sheehan Markov Chain Monte Carlo Applications in Pedigree Analysis: II. All Problems Solved?
M. D. Smith On Dependency in Double Hurdle Models
V. Spokoiny Adaptive Glaettungsverfahren mit Anwendungen auf MRI
D. Sprott The Analysis of Subject Specific, or Predictive, Agreement
D. Sprott The Importance of Conditional Likelihoods and Conditional Inference to the Analysis of Count Data
V. K. Srivastava MDE-Matrix Comparison of Estimator in the Context of Missing Values
M. Stasinopoulos Modelling with Mean and Dispersion Additive Models
M. Stasinopoulos Generalised Autoregressive Moving Average Models
V. Steiner Modelling Individual Retirement Behavior - A discrete-time hazard rate model estimated on German panel data
C. J. Stone Hazard Regression (HARE) Methodology
C. J. Stone Stochastic Optimization Methods for Fitting Polychotomous Regression (POLYCLASS) and Feed-Forward neural Network (NN) Models
J. Timmer Eine Verbesserung der Behandlung von Apnoen mit Hilfe der Zeitreihenanalyse
T. D. Tosteson Measurement Error for Generalized Linear Models when the Covariate is a Proportion
T. D. Tosteson Exact Asymptotic Sample Size Calculations for Generalized Regression Models with Covariate Measurement Error
T. D. Tosteson Covariate Measurement Error and the Estimation of Random Effect Parameters in a Mixed Model for Longitudinal Data
R. Viertl Datenqualität, Information und Statistik
C.-Y. Wang Augmented Inverse Probability Weighted Estimator for Cox Missing Covariate Regression
H. v. Weizsäcker Die Trennungsrate bei endlichen Markovketten
J. Wellner Part I. Interval Censoring and "Panel Count" Data: Models and Estimation Methods
J. Wellner Part II. Interval Censoring and "Panel Count" Data: Distribution Theory for Estimators
N. Wermuth Ein Sweep-Operator fuer triangulaere Matrizen und seine Bedeutung für graphische Markov-Modelle
P.-T. Wilrich Einfache Stichprobenplaene fuer Variablenpruefung bei Messfehlern
A. Ziegler Identifikation einflussreicher Familien unter Verwendung marginaler Modelle
S. Zwanzig Schätzen in nichtparametrischen Fehler-in-Variablen Modellen