Robert E Kass

Carnegie Mellon University

2Papers / 论文

89Citations / 引用

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个人简介

Robert E. Kass’s Bayes factors describes the use of marginal likelihood ratios to evaluate evidence for competing statistical models. Kass is the Maurice Falk Professor of Statistics and Computational Neuroscience at Carnegie Mellon University, holding joint appointments in the Department of Statistics & Data Science and the ML Department. Their research focuses on Bayesian inference and the development of statistical methods for interpreting neuronal data. In The selection of prior distributions by formal rules, Kass reviewed mathematical techniques for choosing prior probabilities. They also co-authored Multiple neural spike train data analysis to address the complexities of modeling electrical activity across populations of neurons.

教育经历

1980 - 1981, Princeton University, Postdoctoral Fellow 1976 - 1980, University of Chicago, Statistics PhD Student 1975 - 1976, University of Wisconsin-Madison, Statistics Graduate Student 1971 - 1975, Antioch College, Mathematics BA Student

工作经历

2024, Carnegie Mellon University, Maurice Falk University Professor, Statistics & Computational Neuroscience 2007, Carnegie Mellon University, Faculty Member, Machine Learning 1997, Carnegie Mellon University, Faculty Member, Center for the Neural Basis of Cognition 2016 - 2024, Carnegie Mellon University, Maurice Falk Professor, Statistics & Computational Neuroscience 2015 - 2018, Carnegie Mellon University, Interim Co-Director, Center for the Neural Basis of Cognition 1981 - 2016, Carnegie Mellon University, Faculty Member, Statistics 1995 - 2004, Carnegie Mellon University, Department Head, Statistics

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论文（2）

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1Family Functioning and Metabolic Control of School-Aged Children with IDDM

M KOVACS,RE KASS, TM SCHNELL,D GOLDSTON,J MARSH

The relationship of two aspects of family life to metabolic control wereexamined as part of a longitudinal study of school-aged children with newly diagnosed insulin-dependent diabetes mellitus (IDDM). Glycosylated hemoglobin level was the primary index of metabolic control; weight-adjusted insulin dosage served as an indirect index. Neither the quality of family life nor aspects of the parents' marriage predicted the child's metabolic control over the next 3–4 mo, and they were also unrelated toconcurrent weight-adjusted insulin dosage. Longitudinal data spanning a 6-yr period of the child's diabetes also failed to reveal an association between aspects of family life and metabolic control. The significance ofthe findings are discussed in light of the sample's characteristics and possible methodological constraints.

1989DIABETES CARE（1989）引用：77

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2Polyspiroacetal Resins. Part II. Structure and Properties of Polyspiroacetals from Pentaerythritol‐glutaraldehyde and from (Pentaerythritol–dipentaerythritol)‐glutaraldehyde

S. M. Cohen,C. F. Hunt,R. E. Kass,A. H. Markhart

AbstractPolyspiroacetal polymers and copolymers derived from pentaerythritol, and glutaraldehyde were prepared and examined for physical properties. Elemental and infrared analyses support the polyspiroacetal structure. X‐ray analysis indicates a range of 20–40% crystallinity. Dipentaerythritol was observed to influence in varying degrees the crystallinity, the solubility, and the optimum range of film curing conditions. Resins with more than 25% dipentaerythritol always crosslinked during polymerization. In addition, the variables influencing such resin properties as molecular weight and gelation were examined. Films crosslinked with pyromellitic dianhydride exhibited good flexibility and tensile strength. Moreover, their oxidative thermal stability was only slightly less than that of crosslinked poly(ethylene terephthalate).

1962Journal of Applied Polymer Science（1962）引用：12

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