Faculty

Institution

Unit

Venue

Teddy Seidenfeld

Herbert A Simon Prof Philosophy Stats

Carnegie Mellon University

Affiliations

School of Computer Science

Machine Learning

Teddy Seidenfeld is currently serving as a Machine Learning Herbert A Simon Prof Philosophy Stats at Carnegie Mellon University.

Honors

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Experiences

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Education

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Teddy Seidenfeld

Carnegie Mellon University

Herbert A Simon Prof Philosophy Stats

You can click a keyword to filter the displayed items

statistics probability theory approximate reasoning inference statistical inference decision theory decision science bayesian analysis statistical methodology philosophy bayesian inference applied mathematics automated reasoning behavioral decision making human decision process behavioral sciences philosophy of science decision analysis applied statistics philosophical logic social choice choice theory forecasting logic in computer science uncertain reasoning entropy uncertainty formalism inductive inference mathematical statistics evidential reasoning applied philosophy theoretical economics philosophy of logic preference aggregation statistical mechanics preference modeling estimation theory choice models higher-order logic belief merging sequential decision making testing technique bibliometrics philosophy of biology collective choice philosophical psychology cognitive psychology simultaneous game robust bayesian inference bayesian decision makers unbounded utilities equivalent random variables mathematical optimization convex analysis music information retrieval statistical analysis uncertainty principle mathematical linguistics foundation of mathematics generalized functions mathematical economics normative theory science education social criticism logical foundations scoring rules coherent choice functions additive probabilities divisive conditioning avoiding dutch book mendel-fisher controversy dominated forecasts pairwise comparisons inverse inference direct inference dilation phenomenon agent decision-making bayesian theory philosophy of mathematics bayes rule epistemology knowledge representation and reasoning expert opinions probabilistic reasoning

Notable Scholarly Works

Notable Federal Grants

Collaborators

Information Lost by Conditioning on the Random Margins in a Two-By-Two Table. Biometrika (2025)

applied probabilityrandom marginstwo-by-two tableprobability theorystatistics

Deceptive Credences. Ergo an Open Access Journal of Philosophy (2021)

Ruobin GongJoseph B. KadaneMark J. SchervishTeddy SeidenfeldRafael B. Stern

bias detectiondeception detectiondeceptive credencescommunicationpersuasionfraud detectionbehavioral sciences

Agreeing to Disagree and Dilation. International Journal of Approximate Reasoning (2018)

Jiji ZhangHailin LiuTeddy Seidenfeld

linguisticsdecision scienceapproximate reasoningapplied mathematicsformal methods

Dominating Countably Many Forecasts. The Annals of Statistics (2014)

M. J. SchervishTeddy SeidenfeldJ. B. Kadane

probabilistic forecastingforecastingstatistical averagingpredictabilityapplied statisticsstatistics

Imprecise Probability: Theories and Applications (Isipta'13). International Journal of Approximate Reasoning (2014)

Fabio CozmanSébastien DesterckeTeddy Seidenfeld

probability theoryimprecise probabilitiesapplied mathematicsapproximate reasoning

Infinite Previsions and Finitely Additive Expectations. arXiv (Cornell University) (2013)

Mark J. SchervishTeddy SeidenfeldJoseph B. Kadane

infinite previsionsestimation theoryforecastingadditive expectations

The Effect of Exchange Rates on Statistical Decisions. Philosophy of Science (2013)

Mark J. SchervishTeddy SeidenfeldJoseph B. Kadane

philosophyphilosophy of scienceinternational financestatisticsstatistical decisions

Bruno De Finetti and Imprecision: Imprecise Probability Does Not Exist!. International Journal of Approximate Reasoning (2012)

Paolo VicigTeddy Seidenfeld

inferencebayesian inferenceapproximate reasoningprobability theorystatistics

Characterization of Proper and Strictly Proper Scoring Rules for Quantiles. (2012)

Mark J. SchervishJoseph B. KadaneTeddy Seidenfeld

proper scoring rulesanalyticsstatistics

Forecasting With Imprecise Probabilities. International Journal of Approximate Reasoning (2012)

Teddy SeidenfeldMark J. SchervishJoseph B. Kadane

forecastingstatisticsapproximate reasoning

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5
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10 / page

Teddy Seidenfeld

Herbert A Simon Prof Philosophy Stats

Carnegie Mellon University

Affiliations

School of Computer Science

Machine Learning

Teddy Seidenfeld is currently serving as a Machine Learning Herbert A Simon Prof Philosophy Stats at Carnegie Mellon University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Teddy Seidenfeld

Carnegie Mellon University

Herbert A Simon Prof Philosophy Stats

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Information Lost by Conditioning on the Random Margins in a Two-By-Two Table. Biometrika (2025)

applied probabilityrandom marginstwo-by-two tableprobability theorystatistics

Deceptive Credences. Ergo an Open Access Journal of Philosophy (2021)

Ruobin GongJoseph B. KadaneMark J. SchervishTeddy SeidenfeldRafael B. Stern

bias detectiondeception detectiondeceptive credencescommunicationpersuasionfraud detectionbehavioral sciences

Agreeing to Disagree and Dilation. International Journal of Approximate Reasoning (2018)

Jiji ZhangHailin LiuTeddy Seidenfeld

linguisticsdecision scienceapproximate reasoningapplied mathematicsformal methods

Dominating Countably Many Forecasts. The Annals of Statistics (2014)

M. J. SchervishTeddy SeidenfeldJ. B. Kadane

probabilistic forecastingforecastingstatistical averagingpredictabilityapplied statisticsstatistics

Imprecise Probability: Theories and Applications (Isipta'13). International Journal of Approximate Reasoning (2014)

Fabio CozmanSébastien DesterckeTeddy Seidenfeld

probability theoryimprecise probabilitiesapplied mathematicsapproximate reasoning

Infinite Previsions and Finitely Additive Expectations. arXiv (Cornell University) (2013)

Mark J. SchervishTeddy SeidenfeldJoseph B. Kadane

infinite previsionsestimation theoryforecastingadditive expectations

The Effect of Exchange Rates on Statistical Decisions. Philosophy of Science (2013)

Mark J. SchervishTeddy SeidenfeldJoseph B. Kadane

philosophyphilosophy of scienceinternational financestatisticsstatistical decisions

Bruno De Finetti and Imprecision: Imprecise Probability Does Not Exist!. International Journal of Approximate Reasoning (2012)

Paolo VicigTeddy Seidenfeld

inferencebayesian inferenceapproximate reasoningprobability theorystatistics

Characterization of Proper and Strictly Proper Scoring Rules for Quantiles. (2012)

Mark J. SchervishJoseph B. KadaneTeddy Seidenfeld

proper scoring rulesanalyticsstatistics

Forecasting With Imprecise Probabilities. International Journal of Approximate Reasoning (2012)

Teddy SeidenfeldMark J. SchervishJoseph B. Kadane

forecastingstatisticsapproximate reasoning

1
2
3
4
5
18
10 / page

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