TOPICS

Statistics

Theory

A versatile trivariate wrapped Cauchy copula

Wednesday, 11 December 2024, 15:00-16:15

Theory

Decoding Microbiome Dual-Mediation:Introducing ZIMMA for Enhanced Zero-Inflated Data Analysis

Wednesday, 13 November 2024, 15:00-16:15

Predicting full retirement attainment of NBA players
Data Analytics

Predicting full retirement attainment of NBA players

Thursday, 25 July 2024, 19:00-20:15

Bayesian Detection and Prediction of Disruptive Events using Twitter
Applied Research

Bayesian Detection and Prediction of Disruptive Events using Twitter

Wednesday, 13 March 2024, 15:00-16:15

Predicting Shot Success in NBA
Data Analytics

Predicting Shot Success in NBA

Wednesday, 15 November 2023, 15:00-16:15

Flexible non-parametric regression models for compositional response data with zeros
Applied Research

Flexible non-parametric regression models for compositional response data with zeros

Wednesday, 01 November 2023, 15:00-16:15

Pythagorean Expectation and other Machine Learning applications in Euroleague
Data Analytics

Pythagorean Expectation and other Machine Learning applications in Euroleague

Wednesday, 04 October 2023, 15:00-16:15

Nonlinear Network Autoregressive Models
Theory

Nonlinear Network Autoregressive Models

Wednesday, 03 May 2023, 15:00-16:15

Model based clustering of multinomial count data
Theory

Model based clustering of multinomial count data

Thursday, 03 November 2022, 11:00-12:15

Forecasting the COVID-19 Pandemic in Saudi Arabia Using a Modified Singular Spectrum Analysis Approach
Applied Research

Forecasting the COVID-19 Pandemic in Saudi Arabia Using a Modified Singular Spectrum Analysis Approach

Wednesday, 18 May 2022, 15:00-16:00

The benefits and challenges of causal machine learning
Theory

The benefits and challenges of causal machine learning

Wednesday, 13 April 2022, 15:00-16:15

Determining the Flat Sales Prices by Flat Characteristics Using Bayesian Network Models
Data Analytics

Determining the Flat Sales Prices by Flat Characteristics Using Bayesian Network Models

Wednesday, 09 February 2022, 15:00-16:15

Univariate Self-Starting Shiryaev (U3S): A Bayesian Online Change Point Model for Short Runs
Theory

Univariate Self-Starting Shiryaev (U3S): A Bayesian Online Change Point Model for Short Runs

Wednesday, 19 January 2022, 13:00-14:15

Meta-Analysis of Bayes Factors
Theory

Meta-Analysis of Bayes Factors

Wednesday, 15 December 2021, 16:00-17:15

A generalized Bayes framework for probabilistic clustering
Theory

A generalized Bayes framework for probabilistic clustering

Wednesday, 01 December 2021, 15:00-16:15

A new regression model for overdispersed binomial data accounting for outliers and an excess of zeros
Theory

A new regression model for overdispersed binomial data accounting for outliers and an excess of zeros

Wednesday, 17 November 2021, 15:00-16:15

Bayesian networks and their extensions in modern machine learning
Applied Research

Bayesian networks and their extensions in modern machine learning

Wednesday, 13 October 2021, 15:00-16:15

A maximum likelihood approach to diet estimation of marine predators
Applied Research

A maximum likelihood approach to diet estimation of marine predators

Wednesday, 16 June 2021, 16:00-17:15

Scaled von Mises-Fisher distributions and robustness
Theory

Scaled von Mises-Fisher distributions and robustness

Wednesday, 26 May 2021, 15:00-16:15

Predicting wine quality by using various Machine Learning Methods
Applied Research

Predicting wine quality by using various Machine Learning Methods

Wednesday, 21 April 2021, 15:00-16:15

Mixtures of non-linear Poisson autoregressions
Theory

Mixtures of non-linear Poisson autoregressions

Wednesday, 14 April 2021, 15:00-16:15

A robust approach to classification and regression tasks for microbiome data
Theory

A robust approach to classification and regression tasks for microbiome data

Wednesday, 24 March 2021, 15:00-16:15

Introduction to meta-analysis
Applied Research

Introduction to meta-analysis

Wednesday, 03 February 2021, 15:00-16:15

Scientific challenges and problems in football analytics
Data Analytics

Scientific challenges and problems in football analytics

Wednesday, 09 December 2020, 15:00-16:15

Estimating NBA players salary share according to their performance on court: A machine learning approach
Data Analytics

Estimating NBA players salary share according to their performance on court: A machine learning approach

Wednesday, 25 November 2020, 15:00-16:15

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