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On Combination of Inferences After Split-and-Conquer Xie, Min-ge
Description
This talk will give an overview of scientific methods that are used for combining estimations or inferences from different data (or subsets of data). It will discuss pros and cons of different methodologies that are commonly used in scientific research. It will stress the use of 'distribution estimators' to combining inferences and provide a `unified' angle to view both Bayesian and frequentist approaches. It will also provide examples to illustrate some pitfalls of some well-known approaches.
Item Metadata
Title |
On Combination of Inferences After Split-and-Conquer
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Creator | |
Publisher |
Banff International Research Station for Mathematical Innovation and Discovery
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Date Issued |
2018-05-23T09:02
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Description |
This talk will give an overview of scientific methods that are used for combining estimations or inferences from different data (or subsets of data). It will discuss pros and cons of different methodologies that are commonly used in scientific research. It will stress the use of 'distribution estimators' to combining inferences and provide a `unified' angle to view both Bayesian and frequentist approaches. It will also provide examples to illustrate some pitfalls of some well-known approaches.
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Extent |
49 minutes
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Subject | |
Type | |
File Format |
video/mp4
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Language |
eng
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Notes |
Author affiliation: Rutgers University
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Series | |
Date Available |
2019-03-20
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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DOI |
10.14288/1.0377199
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URI | |
Affiliation | |
Peer Review Status |
Unreviewed
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Scholarly Level |
Faculty
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International