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Mixed Effects Models for Item Response Data
10:15
Mixed Effects Models for Item Response Data
@ York University Department of Psychology
Feb 3 @ 10:15 – 11:45
Quantitative Methods Forum @ Norm Endler Room (BSB 164) Feb 3 @ 10:15 AM – 11:15 AM Speaker: Phil Chalmers, York University Department of Psychology Title: Mixed effects models for item response data Abstract: A special selection … Continue reading Mixed Effects Models for Item Response Data
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**CANCELLED** SHAPE CONSTRAINED REGRESSION USING GAUSSIAN PROCESS PROJECTIONS
15:30
**CANCELLED** SHAPE CONSTRAINED REGRESSION USING GAUSSIAN PROCESS PROJECTIONS
@ Sidney Smith Room 1074
Feb 6 @ 15:30 – 16:30
**CANCELLED DUE TO WEATHER** The seminar will be rescheduled soon SHAPE CONSTRAINED REGRESSION USING GAUSSIAN PROCESS PROJECTIONS Lizhen Lin, Duke University Shape constrained regression analysis has applications in dose-response modeling, environmental risk assessment, disease screening … Continue reading **CANCELLED** SHAPE CONSTRAINED REGRESSION USING GAUSSIAN PROCESS PROJECTIONS
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Overview of Likelihood-Based Inference
10:15
Overview of Likelihood-Based Inference
@ York University Department of Psychology
Feb 10 @ 10:15 – 11:15
Quantitative Methods Forum @ Norm Endler Room (BSB 164) Feb 10 @ 10:15 AM – 11:15 AM Speaker: Dr. Augustine Wong, York University Department of Mathematics and Statistics Title: Overview of Likelihood-Based Inference Abstract: Obtaining … Continue reading Overview of Likelihood-Based Inference
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Pseudo-likelihood methods for community detection in large sparse networks
15:30
Pseudo-likelihood methods for community detection in large sparse networks
@ Sidney Smith Room 2118
Feb 11 @ 15:30
Pseudo-likelihood methods for community detection in large sparse networks Arash Amini, University of Michigan We consider the problem of community detection in a network, that is, partitioning the nodes into groups that, in some sense, … Continue reading Pseudo-likelihood methods for community detection in large sparse networks
Pseudo-likelihood methods for community detection in large sparse networks
15:30
Pseudo-likelihood methods for community detection in large sparse networks
@ Sidney Smith Hall, Room 2118
Feb 11 @ 15:30 – 16:30
Tuesday February 11, 2014 at 3:30pm Sidney Smith Hall, Room 2118 *Refreshments will be served at 3:15pm Pseudo-likelihood methods for community detection in large sparse networks Dr. Arash Amini, University of Michigan We consider the … Continue reading Pseudo-likelihood methods for community detection in large sparse networks
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Beyond Measurement Artifacts: Integrating Measurement Equivalence with Theory Development in Cross Cultural Research
11:30
Beyond Measurement Artifacts: Integrating Measurement Equivalence with Theory Development in Cross Cultural Research
@ York University Schulich School of Business, N106
Feb 12 @ 11:30 – 13:00
 The Organization Studies area at Schulich invites you to attend a seminar with Professor Gordon Cheung (The Chinese University of Hong Kong). Prof. Cheung is an outstanding and innovative researcher with expertise in research methods and … Continue reading Beyond Measurement Artifacts: Integrating Measurement Equivalence with Theory Development in Cross Cultural Research
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Computational Foundations of Bayesian Inference and Probabilistic Programming
15:30
Computational Foundations of Bayesian Inference and Probabilistic Programming
@ Sidney Smith Hall, Room 1074
Feb 13 @ 15:30 – 16:45
Thursday February 13, 2014 at 3:30pm Sidney Smith Hall, Room 1074 **Refreshments will be served at 3:15pm Computational Foundations of Bayesian Inference and Probabilistic Programming Dr. Daniel Roy, University of Cambridge The complexity, scale, and … Continue reading Computational Foundations of Bayesian Inference and Probabilistic Programming
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Integrating Ratings of Child Psychopathology across Multiple Informants
22:15
Integrating Ratings of Child Psychopathology across Multiple Informants
@ Norm Endler Room (BSB 164)
Feb 24 @ 22:15 – 23:15
Quantitative Methods Forum @ Norm Endler Room (BSB 164) Feb 24 @ 10:15 AM – 11:15 AM Speaker: Dr. Andrea Howard, Carleton University Department of Psychology Title: Integrating Ratings of Child Psychopathology across Multiple Informants Abstract: One … Continue reading Integrating Ratings of Child Psychopathology across Multiple Informants
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Data mining with R: Let R ‘rattle’ you
14:00
Data mining with R: Let R ‘rattle’ you
@ Ted Rogers School of Management, TRS 2-166 (8th floor)
Feb 27 @ 14:00 – 16:00
Title: Data mining with R: Let R ‘rattle’ you Description: This hands-on workshop will provide training in the rattle data mining package for R. rattle is a graphical user interface to transform, visualize and … Continue reading Data mining with R: Let R ‘rattle’ you
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On a multiple-shock dependence structure
10:30
On a multiple-shock dependence structure
@ North Ross 638
Feb 28 @ 10:30 – 11:30
Su Jianxi supervised by Prof. Edward Furman will be giving a talk in the York University Statistics seminar series. The title of the talk is: On a multiple-shock dependence structure. The seminar will be given on Friday … Continue reading On a multiple-shock dependence structure
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