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Probability

Social Science Research Network, 2019
This is an edited and enhanced transcript (with notes and references added) from a lecture on "Probability", prepared as background material for the Minds and Machines course (SYMSYS 1/PSYCH 35/LINGUIST 35/PHIL 99) at Stanford University.
Todd Davies
semanticscholar   +1 more source

Probability theory for number of mixture components resolved by n independent columns

Journal of Chromatography A, 2005
A general theory is proposed for the probability of different outcomes of success and failure of component resolution, when complex mixtures are partially separated by n independent columns. Such a separation is called an n-column separation. An outcome of particular interest is component resolution by at least one column. Its probability is identified
Leonid M. Blumberg, Joe M. Davis
openaire   +3 more sources

Sample Efficient Identity Testing and Independence Testing of Quantum States

Information Technology Convergence and Services, 2021
In this paper, we study the quantum identity testing problem, i.e., testing whether two given quantum states are identical, and quantum independence testing problem, i.e., testing whether a given multipartite quantum state is in tensor product form.
Nengkun Yu
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Discussion the Teaching Methods Reform on “Probability Theory and Mathematical Statistics” of Independent College [PDF]

open access: possible, 2013
Independent College is a new school model of Higher Education in our country, how to train students to adapt to the needs of society is its urgent problem. From the practical teaching, this paper analyzes the current situation and point out the problems on Probability theory and Mathematical Statistics in Independent Colleges, and proposes a solution ...
Yankun Li   +3 more
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Cumulative reaction probability and reaction eigenprobabilities from time-independent quantum scattering theory

Physical Review A, 2001
The cumulative reaction probability (CRP) is a gross characteristic of rearrangement collision processes defining the reaction rate constant. This paper presents a complete development of the approach to the theory of CRP that we have recently proposed [Phys. Rev. Lett. 80, 41 (1998)]. In the core of this approach lies an alternative expression for CRP
Hiroki Nakamura   +2 more
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Aspects of Multivariate Statistical Theory

Wiley Series in Probability and Statistics, 1982
Tables. Commonly Used Notation. 1. The Multivariate Normal and Related Distributions. 2. Jacobians, Exterior Products, Kronecker Products, and Related Topics. 3.
R. Muirhead
semanticscholar   +1 more source

Cumulative reaction probability from time independent scattering theory

The Journal of Chemical Physics, 1995
The formally exact expression for the cumulative reaction probability, N(E), was first derived by Miller, Schwartz and Tromp (MST) [J. Chem. Phys. 79, 4889 (1983)] from the flux–flux time-dependent expression for the thermal rate constant. We derive the MST formula for N(E) from the time-independent expression for the state-to-state transition ...
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Viscoelastic or Viscoplastic Glucose Theory (VGT #66): Relative Risk Probability of Developing Ovarian and/or Uterine Cancers in Female Patients Using a type 2 Diabetes and Obesity Patient Collected Data over 12+ Years from 1/1/2010 to 4/23/2022 with 5 Gender-Independent Generic Cancer Risk Factors, i.e. Obesity, Diabetes, Lipids, Diet, and Exercise to Validate the Suitability of VGT Tool for Gynecological Cancer Study Based on GH-Method: Math-Physical Medicine (No. 655)

Journal of Applied Material Science & Engineering Research, 2022
A family member of the author was recently diagnosed with ovarian and uterine cancer which piqued his interest in understanding more about this subject. To date, he has read numerous published articles regarding this topic. Although the majority of these research papers utilize statistical data analysis tools to draw their observed conclusions, they ...
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Oxford Studies In Probability 4

1995
Abstract This book is devoted to limit theorems and probability inequalities for sums of independent random variables. It includes limit theorems on convergence to infinitely divisible distributions, the central limit theorem with rates of convergence, the weak and strong law of large numbers, the law of the iterated logarithm, and also ...
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