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**CANCELLED** Backward Simulation of Poisson Processes
15:30
**CANCELLED** Backward Simulation of Poisson Processes
@ Sidney Smith Room 1074
Mar 6 @ 15:30 – 16:30
SEMINAR Thursday March 6, 2014 at 3:30pm Sidney Smith Hall, Room 1074 **Refreshments will be served at 3:15pm** Dr. Alexander Kreinin, IBM Head of Quantitative Research, RFE Risk Analytics, Business Analytics Backward Simulation of Poisson … Continue reading **CANCELLED** Backward Simulation of Poisson Processes
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Evaluation of Intimate Partner Risk Assessment Inventories
10:15
Evaluation of Intimate Partner Risk Assessment Inventories
@ Norm Endler Room (BSB 164)
Mar 10 @ 10:15 – 11:30
Quantitative Methods Forum @ Norm Endler Room (BSB 164) Mar 10 @ 10:15 AM – 11:15 AM Speaker: Carrie Smith, York University Department of Psychology Title: Evaluation of Intimate Partner Risk Assessment Inventories Abstract: In the … Continue reading Evaluation of Intimate Partner Risk Assessment Inventories
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EMVS: The EM Approach to Bayesian Variable Selection
15:30
EMVS: The EM Approach to Bayesian Variable Selection
@ Sidney Smith Hall, Room 1074
Mar 13 @ 15:30 – 16:30
SEMINAR Thursday March 13, 2014 at 3:30pm Sidney Smith Hall, Room 1074 *Refreshments will be served at 3:15pm* EMVS: The EM Approach to Bayesian Variable Selection Veronika Rockova, University of Pennsylvania Despite rapid developments … Continue reading EMVS: The EM Approach to Bayesian Variable Selection
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Two-part Models for Semicontinuous Variables in Psychological Research
10:15
Two-part Models for Semicontinuous Variables in Psychological Research
@ Norm Endler Room (BSB 164)
Mar 17 @ 10:15 – 11:15
Quantitative Methods Forum @ Norm Endler Room (BSB 164) Mar 17 @ 10:15 AM – 11:15 AM Speaker: Dr. Dave Flora, York University Department of Psychology Title: Two-part Models for Semicontinuous Variables in Psychological Research Abstract: … Continue reading Two-part Models for Semicontinuous Variables in Psychological Research
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A Pipeline for High-Dimensional Time Course Gene Expression Data to Study Dynamic Network Responses to Viral Infections
10:30
A Pipeline for High-Dimensional Time Course Gene Expression Data to Study Dynamic Network Responses to Viral Infections
@ North Ross 638
Mar 21 @ 10:30 – 11:30
A Pipeline for High-Dimensional Time Course Gene Expression Data to Study Dynamic Network Responses to Viral Infections Hulin Wu, Ph.D., Dean’s Professor Department of Biostatistics and Computational Biology Director, Center for Integrative Bioinformatics and Experimental … Continue reading A Pipeline for High-Dimensional Time Course Gene Expression Data to Study Dynamic Network Responses to Viral Infections
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Is Item-Level Non-Invariance Always Important?
10:15
Is Item-Level Non-Invariance Always Important?
@ Norm Endler Room (BSB 164)
Mar 24 @ 10:15 – 11:15
Quantitative Methods Forum @ Norm Endler Room (BSB 164) Mar 24 @ 10:15 AM – 11:15 AM Speaker: Alyssa Counsell, York University Department of Psychology Title: Is Item-Level Non-Invariance Always Important? Abstract: Differential Item Functioning (DIF) refers … Continue reading Is Item-Level Non-Invariance Always Important?
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The Yuen-Welch and Generalized Linear Model Approaches for Analyzing Skewed and Heteroscedastic Data in Psychology and A brief survey of current statistical methods for meta-analyzing data produced by single-case experimental designs
10:15
The Yuen-Welch and Generalized Linear Model Approaches for Analyzing Skewed and Heteroscedastic Data in Psychology and A brief survey of current statistical methods for meta-analyzing data produced by single-case experimental designs
@ Norm Endler Room (BSB 164)
Mar 31 @ 10:15 – 11:15
Speaker: Victoria Ng and Joo Ann Lee, York University Department of Psychology Speaker: Victoria Ng Title: The Yuen-Welch and Generalized Linear Model Approaches for Analyzing Skewed and Heteroscedastic Data in Psychology Abstract: Many psychological studies … Continue reading The Yuen-Welch and Generalized Linear Model Approaches for Analyzing Skewed and Heteroscedastic Data in Psychology and A brief survey of current statistical methods for meta-analyzing data produced by single-case experimental designs
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