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Room
Richcraft Hall (
RB
) -
2220-2224
Date and Time
-

Présentations dans cette session

Titre Heure
On Data Sharpening in Nonparametric Autoregressive Models -
Efficiently Evaluating the Economic Benefits of Group Sequential Design using Bayesian Decision Theory -
Inference in Generalized Exponential Ornstein-Uhlenbeck Processes with Change-point -
Optimal single-stratum and multi-stratum designs for the dual purpose of model discrimination and parameter estimation -
A Clustering Approach to Bottom-up Theories of Subjective Well-being: Is Life Satisfaction Differentially Predicted by Levels of Domain Satisfaction -
A Study of Soccer Space Gain in Pass Sequences Using Logistic Regression -
Boosting Methods for Classification with Small Sample Size -
A jackknife type procedure for modelling networks -
Dynamic Treatment Regimes for Clustered Data with Between- and Within-Group Interference -
From simulation to observation – comparing spatial heterogeneity of radiation at the cellular level -
Exploring How Response Time predict Student Engagement in English Language Proficiency using Computerized Adaptive Test Data -
A Bayesian Regression model with Gaussian Process for Semi-Continuous Response -
Boosting Methods for Imbalanced Data Classification -
Spatial Non-Stationarity Effects of Unhealthy Food Environments and Green Spaces for Type-2 Diabetes in Toronto -
Mixtures of contaminated multivariate Poisson-lognormal models -
How a Misclassified Binary Outcome Y in Training Data Affects Model Prediction Performance: a Simulation Study -
Is There an Association Between Dietary Sodium Intake and Life Expectancy in the Canadian Adult Population? -
Bayesian inversion and uncertainty quantification for muon tomography -
Multivariate Two-sample Test Statistics Based on Data Depth -
Statistical Methods of Variant Calling in Next-Generation Sequence Data Analysis -
On Data Sharpening in Nonparametric Autoregressive Models -
Data and Knowledge: Considerations for Working with Data from Indigenous People -
The Conundrum of COVID-19 Self-Testing Devices -
Optimal single-stratum and multi-stratum designs for the dual purpose of model discrimination and parameter estimation -
Efficiently Evaluating the Economic Benefits of Group Sequential Design using Bayesian Decision Theory -
Inference in Generalized Exponential Ornstein-Uhlenbeck Processes with Change-point -
Boosting Methods for Classification with Small Sample Size -
A Clustering Approach to Bottom-up Theories of Subjective Well-being: Is Life Satisfaction Differentially Predicted by Levels of Domain Satisfaction -
A Study of Soccer Space Gain in Pass Sequences Using Logistic Regression -
From simulation to observation – comparing spatial heterogeneity of radiation at the cellular level -
A jackknife type procedure for modelling networks -
Dynamic Treatment Regimes for Clustered Data with Between- and Within-Group Interference -
A Bayesian Regression model with Gaussian Process for Semi-Continuous Response -
Exploring How Response Time predict Student Engagement in English Language Proficiency using Computerized Adaptive Test Data -
Spatial Non-Stationarity Effects of Unhealthy Food Environments and Green Spaces for Type-2 Diabetes in Toronto -
Boosting Methods for Imbalanced Data Classification -
How a Misclassified Binary Outcome Y in Training Data Affects Model Prediction Performance: a Simulation Study -
Is There an Association Between Dietary Sodium Intake and Life Expectancy in the Canadian Adult Population? -
Mixtures of contaminated multivariate Poisson-lognormal models -
Multivariate Two-sample Test Statistics Based on Data Depth -
Statistical Methods of Variant Calling in Next-Generation Sequence Data Analysis -
Bayesian inversion and uncertainty quantification for muon tomography -
Data and Knowledge: Considerations for Working with Data from Indigenous People -
The Conundrum of COVID-19 Self-Testing Devices -
Total: 44