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         Probability:     more books (100)
  1. Probability and Measure, 3rd Edition by Patrick Billingsley, 1995-04-17
  2. Probability with Martingales (Cambridge Mathematical Textbooks) by David Williams, 1991-02-22
  3. Intuitive Probability and Random Processes using MATLAB by Steven Kay, 2005-11-16
  4. Probability and Random Processes for Electrical and Computer Engineers by John A. Gubner, 2006-06-05
  5. A Treatise on Probability by John Maynard Keynes, 2007-06-01
  6. Probability: Theory and Examples (Probability: Theory & Examples) by Richard Durrett, 2004-03-16
  7. Probability and Random Processes with Applications to Signal Processing (3rd Edition) by John W. Woods, Henry Stark, 2001-07-24
  8. Probability by Jim Pitman, 1999-05-21
  9. Subjective Probability: The Real Thing by Richard Jeffrey, 2004-04-12
  10. A Second Course in Probability by Sheldon, M Ross, Erol, A Pekoz, 2007-05-01
  11. Applied Probability Models with Optimization Applications (Dover Books on Mathematics) by Sheldon M. Ross, 1992-12-04
  12. The Pleasures of Probability (Undergraduate Texts in Mathematics / Readings in Mathematics) by Richard Isaac, 1996-10-30
  13. Music and Probability by David Temperley, 2007-01-01
  14. A Natural Introduction to Probability Theory by Ronald Meester, 2008-03

61. Probability Theory As Extended Logic
Louis probability Theory As Extended Logic. Last Modified 18-2004 Tom LoredoWe have Tom Loredo s excellent tutorial on probability theory.
Probability Theory As Extended Logic
Last Modified Edwin T. Jaynes was one of the first people to realize that probability theory, as originated by Laplace, is a generalization of Aristotelian logic that reduces to deductive logic in the special case that our hypotheses are either true or false. This web site has been established to help promote this interpretation of probability theory by distributing articles, books and related material. As Ed Jaynes originated this interpretation of probability theory we have a large selection of his articles, as well as articles by a number of other people who use probability theory in this way:
  • E. T. Jaynes: Amazon here in the US. It is also available directly from Cambridge. and from Amazon in the UK. We still have a selection of Dr. Jaynes' articles , and the first three chapters from Jaynes' book on probability theory are now online as a pdf file or as a postscript file. A typed publication quality version of his unpublished book titled "Probability Theory, With Applications in Science and Engineering" that was being prepared for publication in the mid 1970's is available.

62. MCA Learning Units
Features selected learning modules for arithmetic, algebra, geometry, trigonometry, statistics and probability. Includes some resource links.
Home General Business Engineering Home General Business Engineering ... Glossary

63. Combinatorics, Probability & Computing
Home Journals Combinatorics, probability Computing. Combinatorics, probability Computing. Edited by Béla Bollobás University of Memphis, USA.

64. Probability In The Engineering And Informational Sciences
Home Journals probability in the Engineering and Informational Sciences. probabilityin the Engineering and Informational Sciences.

65. Infinite Dimensional Analysis, Quantum Probability And Related Topics (IDAQP)
World Scientific. Contents, abstracts of all volumes; full text to institutional subscribers.
What's New New Journals Browse Journals Search ... Mathematics
Infinite Dimensional Analysis, Quantum Probability and Related Topics (IDAQP)
In the past few years the fields of infinite dimensional analysis and quantum probability have undergone increasingly significant developments and have found many new applications, in particular, to classical probability and to different branches of physics. The number of first-class papers in these fields has grown at the same rate. This is currently the only journal which is devoted to these fields. More What's New According to the 2002 ISI Journal Citation Reports, IDAQP is ranked 20th among 71 journals in Statistics and Probability, 19th among 29 journals in Mathematical Physics and 44th out of 156 journals in Applied Mathematics. IDAQP has published a Supplementary Issue*. Email to order your print copy for only US$38 now! Editor: R Léandre
  • Some Families of q-vector Fields on Path Spaces
    by K.D. Elworthy and X.M. Li
  • On the Compactness of Manifold
    by X.M. LI and F.Y. Wang

66. Math Forum: Ask Dr. Math FAQ: Probability
Ask Dr. Math FAQ. Introduction to probability The study of probabilityhelps us figure out the likelihood of something happening.
Ask Dr. Math: FAQ
I ntroduction to P robability
Dr. Math FAQ
Classic Problems Formulas Search Dr. Math ... Dr. Math Home
For a review of concepts, see Permutations and Combinations. The study of probability helps us figure out the likelihood of something happening. For instance, when you roll a pair of dice, you might ask how likely you are to roll a seven. In math, we call the "something happening" an "event." The probability of the occurrence of an event can be expressed as a fraction or a decimal from to 1. Events that are unlikely will have a probability near 0, and events that are likely to happen have probabilities near 1.* In any probability problem, it is very important to identify all the different outcomes that could occur. For instance, in the question about the dice, you must figure out all the different ways the dice could land, and all the different ways you could roll a seven. * Note that when you're dealing with an infinite number of possible events, an event that could conceivably happen might have probability zero. Consider the example of picking a random number between 1 and 10 - what is the probability that you'll pick 5.0724? It's zero, but it could happen.

67. INI Programme CMP
Research programme at the Isaac Newton Institute, Cambridge UK. Themes include Randomised algorithms; Phase transitions in statistical physics and computer science; Random graphs and structures. August December 2002.
@import url(/css/prog-non_n4.css); Institute Home Page


Programme Home

Seminars Workshops
Participants Long Stay
Short Stay

Additional Links Contacts
Mailing List

Isaac Newton Institute for Mathematical Sciences
Computation, Combinatorics and Probability
29 Jul - 20 Dec 2002 Organisers : Professor Martin Dyer ( Leeds ), Professor Mark Jerrum ( Edinburgh ), Dr Peter Winkler ( Bell Labs
Programme theme
As Computer Science has matured as a discipline, its relationships with mathematics have become both more wide ranging and more profound. The programme will explore two particularly fruitful interfaces between computer science and mathematics, namely those with combinatorics and probability theory. Although no interdisciplinary work within the broad area delineated by the title will be excluded, the following themes will receive special emphasis.
  • Randomised algorithms.
    The design and analysis of algorithms that make random choices; also deterministic algorithms when run on random instances.The theoretical basis here includes the study of parameters connected with random walks on graphs and the relationships between them. "Phase transitions" in statistical physics and computer science.

68. Probability Theory - The Laymans Guide To Probability - Http://www.probabilityth
The Laymans Guide to probability, An indepth but easily readable guide on probabilitytheory, covering various aspects of theory with a bias to gambling games
PROBABILITY THEORY A paper by Peter Webb who was An in-depth but easily readable guide on probability theory, covering various aspects of the theory with a bias to ga mbling games and strategies. Includes working examples in an excel spreadsheet. Table of contents :- Introduction Converse probabilities The birthday problem Periodic events ... Bookmakers If you have found this web site helpful, please help me maintain and keep it current by making a small donation. Related material Combinations generator program (Please read the Combinations section in this document) Excel spreadsheet of most of the calculations used in this page Related links The truth behind staking systems It's a small world! - Why the person standing next to you knows somebody you know! Introduction Before the theory of probability was formed Gambling was popular. Gamblers were crafty enough to figure simple laws of probability by w itnessing the events at first hand. The opportunity was limitless in then exploiting the often complex and sometimes seemingly contradictory

69. Math Forum - Ask Dr. Math Archives: Middle School Probability
Browse Middle School probability Stars indicate particularly interestinganswers or good places to begin browsing. Odds Slang for probability?
Ask Dr. Math
Middle School Archive

Dr. Math Home
Elementary Middle School High School ... Dr. Math FAQ
This page:



See also the
Dr. Math FAQ
and probability in the real world Internet Library probability MIDDLE SCHOOL About Math Algebra equations factoring expressions ... Word Problems
Browse Middle School Probability Stars indicate particularly interesting answers or good places to begin browsing. See also Middle School Statistics. Selected answers to common questions: Coin tossing.
Drawing Marbles
A jar contains 2 red, 3 blue, and 4 green marbles. Niki draws one marble from the jar, and then Tom draws a marble. What is the probability that Niki will draw a green marble and Tom will draw a blue marble?
Gambler's Fallacy
My co-worker prefers to bet the same set of five lottery numbers every time, but I say that the probability is the same if you randomly select any set five numbers for the same period of time. Who is right?
Math Symbol for C
I am puzzled by one symbol of typing math. What does the upper case letter C mean? As in (2C1) (3C1) / (47C2) = 6/1081.
Odds Slang for Probability?

70. Progic 2002: Combining Probability And Logic
4th Augustus de Morgan Workshop. King's College London, UK; 46 November 2002.
Combining Probability and Logic
4th Augustus de Morgan Workshop
King's College London
4th - 6th November 2002 How is probability related to logic?
Should probability and logic be combined?
If so, how? Bayesianism tells us we ought to reason probabilistically. In that sense, probability theory is logic. How then does probability theory relate to classical logic and the various non-classical logics that also stake a claim on normative reasoning? Is probability theory to be preferred over other logics or vice versa? Is probability theory to be used in some situations, and the other logics in other situations? Or should probability be combined with other logics? These questions were important in the time of Augustus de Morgan. Indeed de Morgan himself argued that Aristotelian logic was unnecessarily restrictive in scope, and with his contemporary George Boole he began to broaden its horizons, initiating a rennaissance in logic. The title of his most important book bears witness to his vision of a comprehensive logic encompassing probability: "Formal Logic; or the calculus of Inference, Necessary, and Probable". While the above questions are not new, we now urgently require some answers. Artificial intelligence is one key discipline in which probability theory competes with other logics for application. It is becoming vitally important to evaluate and integrate systems that are based on very different approaches to reasoning, and there is strong demand for theoretical understanding of the relationships between these approaches.

71. ThinkQuest : Library : Probability Central
D/L Learning Section. probability Calculator. probability Calculator. DownloadLearning Section probability Calculator PowerPoint Animation.
Index Math
Probability Central
The probability of finding useful information at this site is 100 percent! Probability Central contains a simple five-part introduction to basic probability theory with a review quiz. Topics covered include probability properties, models, and rules. A poker game illustrates the laws of probability in a real-life situation, the probability calculator gives the likelihood of two different events both happening or either happening at the same time, and there are also links to related sites. Languages: English. Visit Site 1997 ThinkQuest Internet Challenge Languages English Students Poya Winston Churchill High School, Potomac, MD, United States Payam Winston Churchill High School, Potomac, MD, United States Leszek Winston Churchill High School, Potomac, MD, United States Coaches John Winston Churchill High School, Potomac, MD, United States Nicola Winston Churchill High School, Potomac, MD, United States Nicola Winston Churchill High School, Potomac, MD, United States Want to build a ThinkQuest site?

72. Probabilistic Causation
Probabilistic Causation designates a group of philosophical theories that aim to characterize the relationship between cause and effect using the tools of probability theory. A primary motivation for the development of such theories is the desire for a theory of causation that does not presuppose physical determinism.
version history

Stanford Encyclopedia of Philosophy
A B C D ... Z
This document uses XHTML-1/Unicode to format the display. Older browsers and/or operating systems may not display the formatting correctly. last substantive content change
Probabilistic Causation
ceteris paribus clause more precise. This article traces these developments, as well as recent, related developments in causal modeling. Issues within, and objections to, probabilistic theories of causation will also be discussed.
  • 1. Introduction and Motivation
    1. Introduction and Motivation
    1.1 Regularity Theories
    an object, followed by another, and where all the objects similar to the first, are followed by objects similar to the second Suggested Readings: Hume (1748), especially section VII.
    1.2 Imperfect Regularities
    The first difficulty is that most causes are not invariably followed by their effects. For example, it is widely accepted that smoking is a cause of lung cancer, but it is also recognized that not all smokers develop lung cancer. (Likewise, not all non-smokers are spared the ravages of that disease.) By contrast, the central idea behind probabilistic theories of causation is that causes raise the probability of their effects; an effect may still occur in the absence of a cause or fail to occur in its presence. Thus smoking is a cause of lung cancer, not because all smokers develop lung cancer, but because smokers are

73. The Annals Of Applied Probability
The Annals of Applied probability. An Official Journal of the Instituteof Mathematical Statistics. Editors. J. Michael Steele, 1991
The Annals of Applied Probability
An Official Journal of the Institute of Mathematical Statistics
J. Michael Steele
Richard Tweedie

Rick Durrett

Robert Adler
Papers submitted before December 31, 2002, should be sent to
Mathematical Statistics
Centre for Mathematical Sciences
Lund University
Box 118, S-221 00 Lund SWEDEN and after that in postscript or pdf format to If for some reason this is not possible, manuscripts may also be sent to Robert Adler
Industrial Engineering amd Management
Haifa 32000 Israel Further information is available at the new website
Editorial Offices
Editorial Board
Managing Editor ...
Editorial Policy
Tweedie's HTML archives
Volumes 1-6, 1991-1996
Index of Articles sorted by first Author, 1991-1996
Index of Articles sorted by Keywords, 1991-1996
Durrett's Text archives
Volume 7, 1997
Volume 8, 1998
Volume 9, 1999

74. Bridge Probabilities, Combinatorics And Probability Analysis For Bridge Hands
Features combinatorics and probability analysis for bridge hands.
Durango Bill's
Bridge Probabilities and Combinatorics Bridge Probabilities
Combinatorics and Probability Analysis for Bridge Hands
(Includes how to calculate the results and computer source code) The following sections cover several aspects of Bridge probabilities and combinatorics. Each section has a link that gives the statistical results and another link that shows how the results are calculated. The "How to" sections give both a generalized description of the calculations and algorithm as well as the "C" source code.
Math Symbols/Notation:
Use this link for explanations of the math symbols used. Generally, we will use math notation as expressed/used in Microsoft's Excel spreadsheets.
Bidding Combinatorics: Statistics "How to" calculations There are 1.28746 E+47 (Scientific notation for 128+ billion billion billion billion billion (American billion = 1,000,000,000)) different ways to bid after the cards have been dealt. Most of these sequences are nonsensical, but they are legal, hence they must be counted. This is about 2.4 billion billion times larger than the number of ways that four hands can be dealt from a deck of cards. (Total number of possible deals = FACT(52) / ((FACT(13)^4) = 5.36447 E+28) (Note: The order of the cards in a bridge hand is not relevant.)
Bidding combinatorics for a hand is divided into 3 parts. Part one is just to 3 "Passes" before someone mentions a quantity (1 - 7) and a suit (or No Trump). Part 2 contains all quantity and suit bids (We will count suit bids for the stats output) through the last "quantity-suit" bid. This will include all possible intervening bids of "pass", "double", and "redouble". Part 3 comes after the last "quantity-suit" bid, and the only words allowed are "pass", "double", and "redouble".

75. Annals Of Probability
Guidelines for Referees. Copyright, Page Charges and Author Offprints. Subscriptions,Back Issues and Reprints. Other IMS Journals. Annals of probability.
Editorial Board Editorial Policy Contacts January 2004 - 1A ... Other IMS Journals
Annals of Probability
The Annals of Probability publishes research papers in modern probability theory, its relations to other areas of mathematics, and its applications in the physical and biological sciences. Emphasis is on importance, interest, and originality - formal novelty and correctness are not sufficient for publication. The Annals will also publish authoritative review papers and surveys of areas in vigorous development.
Editorial Board (2003 to 2005)
Steven Lalley
Associate Editors
Andrew Barbour Wenbo Li Richard Bass Russell Lyons ... Jeffrey Steif Frank den Hollander Balint Toth Kurt Johansson Ofer Zeitouni Wilfrid Kendall ... Joel Zinn
Editorial Assistant
Judy Lalley
Managing Editor
Michael Phelan
Production Editor
Patrick Kelly
Past Editors
web site contact:

76. Mathinfo2000
Aims to bring together researchers in theoretical computer science and mathematics. Topics include trees, stochastic processes, large deviations, branching processes, random walks, discrete probability, enumerative and analytical combinatorics, analysis of algorithms, performance evaluation, and combinatorial optimization. Versailles, France, September 1820, 2000.
Colloquium on Mathematics and Computer Science :
Algorithms, Trees, Combinatorics and Probabilities
Call For Papers

September 18-20, 2000
45, avenue des Etats-Unis
78035 Versailles cedex - France

Scientific Committee

Organisation Committee

Electronic mail :
Scope of the Colloquium

Call For Papers
Appel a communications (postscript) Invited papers Sponsors List of accepted papers Scientific program ... Version francaise Important dates : March 15, 2000 : Deadline for submission of papers (10 pages). May 24, 2000 : Decision of the scientific committee June 15, 2000 : Final version of accepted papers Official languages : English and French Registration Accomodation Conference site LAMA

77. Index Of /People/opperm
Statistical physics, information theory and applied probability and applications to machien learning and complex systems.
Index of /People/opperm Name Last modified Size Description ... Parent Directory 08-Nov-2003 10:41 - Welcome.html 08-Nov-2003 10:41 4k manfred.gif 08-Nov-2003 10:41 97k Apache/1.3.27 Server at Port 80

78. ESAIM: Probability And Statistics
Journal home page. probability and statistics (read more about ESAIM).Editorsin-Chief Anestis Antoniadis and Patrick Cattiaux. Published

79. Växjö University:
Vaxjo University, Sweden; 27 November 1 December 2000.
Bokis Konferenser Mallar Medel att söka ... Programme/Program International Conference: 2000: November 27 - December 1. International Center for Mathematical Modeling
[in physics, technique and cognitive sciences],
Vaxjo University, Sweden, Organizing committee:
L. Accardi (Rome, Italy),
W. De Muynck (Eindhoven, the Netherlands),
T. Hida (Meijo University, Japan),
A. Khrennikov (Växjö University, Sweden),
V. Maximov(Belostok, Poland). Invited Speakers:
S. Albeverio (Bonn, Germany),
H. Atmanspacher (Freiburg, Germany),
L. Ballentine (Burnaby, Canada), J. Bricmont (Belgium), A. Holevo (Moscow, Russia), S. Gudder (Denver,U.S.A.), T. Kolsrud (Stockholm, Sweden), P. Lahti (Turku, Finland), H. Narnhofer (Wien, Austria), V. Serdobolskii (Moscow, Russia), J. Summhammer (Wien, Austria) , O. Viskov (Moscow, Russia), I. Volovich (Moscow, Russia). The main aim of this Conference is to reconsider foundations of probability theory in connection with foundations of physics (quantum as well as statistical). The following problems will be discussed during the Conference: A. Creation of the conventional probability theory (Kolmogorov's axiomatics, 1933).

80. PR Probability
probability section of the mathematics eprint arXiv
Fri 4 Jun 2004 Search Submit Retrieve Subscribe ... iFAQ
PR Probability
Calendar Search
Authors: All AB CDE FGH ... U-Z
New articles (last 12)
4 Jun math.PR/0406067 Short-term equity dynamics and endogenous market fluctuations. Ted Theodosopoulos , Muffasir Badshah . 12 pages. PR DS OC
4 Jun math.PR/0406052 Quasistationary distributions for one-dimensional diffusions with killing. David Steinsaltz , Steven N. Evans . 37 pages. U.C. Berkeley Department of Statistics Technical Report #637. PR SP
2 Jun math.PR/0406015 Caballero Chaumont PR
1 Jun math.PR/0405601 Random walks with $k$-wise independent increments. Itai Benjamini , Gady Kozma , Dan Romik PR CO
4 Jun math.DS/0406059 On a class of one-sided Markov shifts. Ben-Zion Rubshtein DS PR
3 Jun math-ph/0406001 Fluctuations of the one-dimensional polynuclear growth model with external sources. T. Imamura , T. Sasamoto . 43 pages. MP PR
1 Jun quant-ph/0307217 The chaotic chameleon. Richard D. Gill . 7 pages. ( PR
1 Jun quant-ph/0307188 On an Argument of David Deutsch. Richard D. Gill PR
1 Jun quant-ph/0304013 A geometric proof of the Kochen-Specker no-go theorem. Richard D.

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