Are you over 18 and want to see adult content?

# More Annotations

Nuzzles & Co â€“ Pet Rescue and Adoption

Are you over 18 and want to see adult content?

Monroe Astronautical Rocket Society â€“ NAR Section #136

Are you over 18 and want to see adult content?

Loja Oficial da NBA - TÃªnis, roupas, acessÃ³rios e mais.

Are you over 18 and want to see adult content?

Agencia de fotografÃa deportiva -- IMAGO 7

Are you over 18 and want to see adult content?

# Favourite Annotations

Cheap Jerseys Outlet Wholesale NFL, NBA, NHL, MLB Jerseys Free Shipping Online

Are you over 18 and want to see adult content?

American Specialty Health - Empowering individuals to live healthier lives

Are you over 18 and want to see adult content?

Treloar School & College for Disabled Young People

Are you over 18 and want to see adult content?

Websites with WOW effect, UX-UI Design, Branding - Art4web

Are you over 18 and want to see adult content?

A complete backup of turkeybazzar.com

Are you over 18 and want to see adult content?

Hotel & Hospitality Management Company - Provenance Hotels

Are you over 18 and want to see adult content?

Aquascape Pond Supplies, Pumps, Pond Kits, Pond Lighting, Water Treatment

Are you over 18 and want to see adult content?

# Text

### interval models

### WWW.SIPTA.ORG

### www.sipta.org

THE NASA LANGLEY MULTIDISCIPLINARY UNCERTAINTY QUANTI The NASA Langley Multidisciplinary Uncertainty Quanti cation Challenge Luis G. Crespo National Institute of Aerospace Sean P. Kennyyand Daniel P. Giesyz Dynamic### E'

n . p :H M e p 8.1. TIYCTh e - 3a,naIOIUHH ('O,ll,HOMepHhIH HJIH MHoroMepHbIH) na paMeTp; ,ll,JIH Ka2K,ll,orOero 3'HalIeHHH BBO,ll,HTCH MO,ll,eJIh J(e H no HeH clIHTe3HipyeT CH pernaIOIUee npaBHJIO 0e (B03M02KHO, OnTHMaJIbHoe). BH,ll, 3Toro npaBJ1JIa onpe EXCHANGEABILITY: HOW BRUNO DE FINETTI'S IDEAS THRIVE IN Bruno de Finetti’s exchangeability result Multiple hypergeometric distribution There is some psuch that y= xiff T()= ). Let m=T(x) and consider thepermutation invariant atom :=fy2X n: T(y)=mg: This atom has how many elements? n m = n! MODELLING INDIFFERENCE WITH CHOICE FUNCTIONS Modelling Indifference with Choice Functions Arthur Van Camp and Gert de Cooman Ghent University SYSTeMS Research Group {Arthur.VanCamp,Gert.deCooman}@UGent.be THE SOCIETY FOR IMPRECISE PROBABILITY: THEORIES AND Welcome. We are SIPTA, the Society for Imprecise Probabilities: Theories and Applications, and we are convinced that there is more to uncertainty than probabilities. There is much more, in fact. Would you like to use probabilities but don’t know their exact values? KUZNETSOV'S BOOK ''INTERVAL STATISTICAL MODELS'' The Society for Imprecise Probabilities: Theories and Applications. Home; News The Society Executive committee DOCUMENTATIONSECTION SOCIETYFOR HTTP://WWW.SIPTA 2 DAVID HARMANEC (1) When Bel is a probability measure, U collapses to the Shannon entropy, i.e., U(Bel) = X x2X Bel(fxg)log2 Bel(fxg): (2 PARTIAL IDENTIFICATION OF PROBABILITY DISTRIBUTIONS 1. Missing Outcomes Suppose that each member j of a population J has an outcome y j in a space Y. The population is a probability space (J, 6, P) and y: J Y is a random variable with distribution P(y).A sampling process draws persons at CHAPTER 1. DESCRIPTION OF STOCHASTIC EVENTS Chapter 1. Description of stochastic events 1.1 Interval probabilities and means 1.2 Extension of primary means 1.3 Relations between### interval models

### WWW.SIPTA.ORG

### www.sipta.org

THE NASA LANGLEY MULTIDISCIPLINARY UNCERTAINTY QUANTI The NASA Langley Multidisciplinary Uncertainty Quanti cation Challenge Luis G. Crespo National Institute of Aerospace Sean P. Kennyyand Daniel P. Giesyz Dynamic### E'

n . p :H M e p 8.1. TIYCTh e - 3a,naIOIUHH ('O,ll,HOMepHhIH HJIH MHoroMepHbIH) na paMeTp; ,ll,JIH Ka2K,ll,orOero 3'HalIeHHH BBO,ll,HTCH MO,ll,eJIh J(e H no HeH clIHTe3HipyeT CH pernaIOIUee npaBHJIO 0e (B03M02KHO, OnTHMaJIbHoe). BH,ll, 3Toro npaBJ1JIa onpe EXCHANGEABILITY: HOW BRUNO DE FINETTI'S IDEAS THRIVE IN Bruno de Finetti’s exchangeability result Multiple hypergeometric distribution There is some psuch that y= xiff T()= ). Let m=T(x) and consider thepermutation invariant atom :=fy2X n: T(y)=mg: This atom has how many elements? n m = n! MODELLING INDIFFERENCE WITH CHOICE FUNCTIONS Modelling Indifference with Choice Functions Arthur Van Camp and Gert de Cooman Ghent University SYSTeMS Research Group {Arthur.VanCamp,Gert.deCooman}@UGent.be ARTICLES AND BYLAWS OF SIPTA Articles and Bylaws of SIPTA. The SIPTA Society was created in 2002 with the aim of promoting research on imprecise probability. The following articles and bylaws, approved by the Constituting and General Meetings of the Society, outline the directives for the daily affairs of the society. LUGANO SCHOOL: IMPRECISE PROBABILITIES First SIPTA School on Imprecise Probabilities July 27-31, 2004. Lugano, Switzerland. Contents General information. Confirmed speakers.### Schedule and topics

4TH SIPTA SUMMER SCHOOL 4th SIPTA Summer School. Often, uncertainty is modelled by a probability distribution, and treated using techniques from### probability theory.

### E'

n . p :H M e p 8.1. TIYCTh e - 3a,naIOIUHH ('O,ll,HOMepHhIH HJIH MHoroMepHbIH) na paMeTp; ,ll,JIH Ka2K,ll,orOero 3'HalIeHHH BBO,ll,HTCH MO,ll,eJIh J(e H no HeH clIHTe3HipyeT CH pernaIOIUee npaBHJIO 0e (B03M02KHO, OnTHMaJIbHoe). BH,ll, 3Toro npaBJ1JIa onpe ROBUST BAYES FACTOR FOR INDEPENDENT TWO-SAMPLE COMPARISONS Proceedings of Machine Learning Research 103:167–174, 2019 ISIPTA 2019 Robust Bayes Factor for Independent Two-Sample Comparisons under Imprecise Prior Information EXTENSIONS OF EXPECTED UTILITY THEORY AND SOME LIMITATIONS Schervish et al.: Extensions of Expected Utility Theory 497 foreshadowing of that idea can be found even in , where he allows that not all hypotheses may be comparable by ISIPTA '05: CALL FOR PAPERS Page created September 29 2004, last updated February 21 2005. Send any remarks to the following address: fgcozman@usp.brfgcozman@usp.br SIPTA GENERAL MEETING AGENDA AND MINUTES SIPTA General Meeting Agenda and Minutes Tuesday, July 14, 2009 1. The meeting, led by Teddy Seidenfeld, the new President and former Secretary, opened at 18:00 GRADE GUIDELINES 6. RATING THE QUALITY OF EVIDENCE-IMPRECISION GRADE guidelines 6. Rating the quality of evidencedimprecision Gordon H. Guyatta,b,*, Andrew D. Oxmanc, Regina Kunzd,e, Jan Brozeka, Pablo Alonso-Coellof, David Rindg REPRESENTING AND SOLVING FACTORED MARKOV DECISION 6th International Symposium on Imprecise Probability: Theories and Applications, Durham, United Kingdom, 2009 Representing and Solving Factored Markov Decision Processes THE SOCIETY FOR IMPRECISE PROBABILITY: THEORIES AND Welcome. We are SIPTA, the Society for Imprecise Probabilities: Theories and Applications, and we are convinced that there is more to uncertainty than probabilities. There is much more, in fact. Would you like to use probabilities but don’t know their exact values? ARTICLES AND BYLAWS OF SIPTA Articles and Bylaws of SIPTA. The SIPTA Society was created in 2002 with the aim of promoting research on imprecise probability. The following articles and bylaws, approved by the Constituting and General Meetings of the Society, outline the directives for the daily affairs of the society.### SIPTA SCHOOL

The Ninth SIPTA School on Imprecise Probabilities was organised by the Liverpool Institute for Risk and Uncertainty, UK. It was initially scheduled to take place in July 2020, in Liverpool, but had to be postponed due to the COVID-19 outbreak. It eventually took place online during the winter of 2020-2021, as a series of seperate### lectures.

### ISIPTA 2019

ISIPTA 2019 is the 20-year anniversary edition of the world's main forum on imprecise probabilities, a collective term for all uncertainty frameworks that either extend or replace the probabilistic one. It takes place from 3 to 6 July 2019 in Ghent, Belgium KUZNETSOV'S BOOK ''INTERVAL STATISTICAL MODELS'' The Society for Imprecise Probabilities: Theories and Applications. Home; News The Society Executive committee DOCUMENTATIONSECTION SOCIETYFOR HTTP://WWW.SIPTA 2 DAVID HARMANEC (1) When Bel is a probability measure, U collapses to the Shannon entropy, i.e., U(Bel) = X x2X Bel(fxg)log2 Bel(fxg): (2 PARTIAL IDENTIFICATION OF PROBABILITY DISTRIBUTIONS 1. Missing Outcomes Suppose that each member j of a population J has an outcome y j in a space Y. The population is a probability space (J, 6, P) and y: J Y is a random variable with distribution P(y).A sampling process draws persons at HOW TO CHOOSE AMONG CHOICE FUNCTIONS How to Choose Among Choice Functions Seamus Bradley Munich Centre for Mathematical Philosophy LMU, Munich seamus.bradley@lmu.de Abstract If one models an agent's degrees of belief by a set CHAPTER 1. DESCRIPTION OF STOCHASTIC EVENTS Chapter 1. Description of stochastic events 1.1 Interval probabilities and means 1.2 Extension of primary means 1.3 Relations between### interval models

THE NASA LANGLEY MULTIDISCIPLINARY UNCERTAINTY QUANTI The NASA Langley Multidisciplinary Uncertainty Quanti cation Challenge Luis G. Crespo National Institute of Aerospace Sean P. Kennyyand Daniel P. Giesyz Dynamic THE SOCIETY FOR IMPRECISE PROBABILITY: THEORIES AND Welcome. We are SIPTA, the Society for Imprecise Probabilities: Theories and Applications, and we are convinced that there is more to uncertainty than probabilities. There is much more, in fact. Would you like to use probabilities but don’t know their exact values? ARTICLES AND BYLAWS OF SIPTA Articles and Bylaws of SIPTA. The SIPTA Society was created in 2002 with the aim of promoting research on imprecise probability. The following articles and bylaws, approved by the Constituting and General Meetings of the Society, outline the directives for the daily affairs of the society.### SIPTA SCHOOL

The Ninth SIPTA School on Imprecise Probabilities was organised by the Liverpool Institute for Risk and Uncertainty, UK. It was initially scheduled to take place in July 2020, in Liverpool, but had to be postponed due to the COVID-19 outbreak. It eventually took place online during the winter of 2020-2021, as a series of seperate### lectures.

### ISIPTA 2019

ISIPTA 2019 is the 20-year anniversary edition of the world's main forum on imprecise probabilities, a collective term for all uncertainty frameworks that either extend or replace the probabilistic one. It takes place from 3 to 6 July 2019 in Ghent, Belgium KUZNETSOV'S BOOK ''INTERVAL STATISTICAL MODELS'' The Society for Imprecise Probabilities: Theories and Applications. Home; News The Society Executive committee DOCUMENTATIONSECTION SOCIETYFOR HTTP://WWW.SIPTA 2 DAVID HARMANEC (1) When Bel is a probability measure, U collapses to the Shannon entropy, i.e., U(Bel) = X x2X Bel(fxg)log2 Bel(fxg): (2 PARTIAL IDENTIFICATION OF PROBABILITY DISTRIBUTIONS 1. Missing Outcomes Suppose that each member j of a population J has an outcome y j in a space Y. The population is a probability space (J, 6, P) and y: J Y is a random variable with distribution P(y).A sampling process draws persons at HOW TO CHOOSE AMONG CHOICE FUNCTIONS How to Choose Among Choice Functions Seamus Bradley Munich Centre for Mathematical Philosophy LMU, Munich seamus.bradley@lmu.de Abstract If one models an agent's degrees of belief by a set CHAPTER 1. DESCRIPTION OF STOCHASTIC EVENTS Chapter 1. Description of stochastic events 1.1 Interval probabilities and means 1.2 Extension of primary means 1.3 Relations between### interval models

THE NASA LANGLEY MULTIDISCIPLINARY UNCERTAINTY QUANTI The NASA Langley Multidisciplinary Uncertainty Quanti cation Challenge Luis G. Crespo National Institute of Aerospace Sean P. Kennyyand Daniel P. Giesyz Dynamic ISIPTA | THE SOCIETY FOR IMPRECISE PROBABILITY: THEORIES ISIPTA 2021. The Twelfth International Symposium on Imprecise Probabilities: Theories and Applications will be held in Granada, Spain, on July 6-9 2021. Apart from the usual theoretical and applied contributions, this event will emphasise submissions of methodological tools, including software allowing the automation of the process of### modelling

SOFTWARE TOOLS FOR IMPRECISE PROBABILITIES GL2U-II is an open source package for computing upper and lower probabilities for non-separately specified, non-binary credal networks. The framework of GL2U-II combines the local specification, the binarization and the loopy 2U inference process, similar to the previous version of GL2U. ARCHIVE | THE SOCIETY FOR IMPRECISE PROBABILITY: THEORIES Documentation. When SIPTA was created, documentation on imprecise probabilities was scarce. There was no introductory book that covered the various subtopics of the field, nor was there any school or tutorial material available. SIPTA therefore composed a list of documents covering various aspects of imprecise probabilities. HOW TO CHOOSE AMONG CHOICE FUNCTIONS How to Choose Among Choice Functions Seamus Bradley Munich Centre for Mathematical Philosophy LMU, Munich seamus.bradley@lmu.de Abstract If one models an agent's degrees of belief by a set### E'

n . p :H M e p 8.1. TIYCTh e - 3a,naIOIUHH ('O,ll,HOMepHhIH HJIH MHoroMepHbIH) na paMeTp; ,ll,JIH Ka2K,ll,orOero 3'HalIeHHH BBO,ll,HTCH MO,ll,eJIh J(e H no HeH clIHTe3HipyeT CH pernaIOIUee npaBHJIO 0e (B03M02KHO, OnTHMaJIbHoe). BH,ll, 3Toro npaBJ1JIa onpe THE SIPTA NEWSLETTER The SIPTA Newsletter Society for Imprecise Probability: Theories and Applications Vol. 6 No. 1 www.sipta.org December 2008 Message from the### editor

TEMPORAL DATA CLASSI CATION BY IMPRECISE DYNAMICAL MODELS needed. A typical choice in the precise case is the EM algorithm, which nds a local optimum of the likeli-hood by an iterative procedure. Extending EM to IP APPROXIMATE INFERENCE IN CREDAL NETWORKS BY VARIATIONAL X Hj Qj(Hj) X Hi6= j Y i Qi(Hi)lnP(H;D)+lnP(D); and di erentiating this expression with respect to Qj(Hj).Note that we must take into account the normalization constraint P hj2Hj Q(hj) = 1, where hj is a value of Hj.This is done by introducing the QUALITATIVE AND QUANTITATIVE REASONING IN HYBRID 5th International Symposium on Imprecise Probability: Theories and Applications, Prague, Czech Republic, 2007 Qualitative and Quantitative Reasoning in Hybrid Probabilistic MULTILINEAR AND INTEGER PROGRAMMING FOR MARKOV DECISION literature, the reader may consult books by Puter-man and Bertsekas . In this paper we consider MDPs that are described by: • a countable set T of stages; a decision is made at THE SOCIETY FOR IMPRECISE PROBABILITY: THEORIES AND Welcome. We are SIPTA, the Society for Imprecise Probabilities: Theories and Applications, and we are convinced that there is more to uncertainty than probabilities. There is much more, in fact. Would you like to use probabilities but don’t know their exact values?### ISIPTA 2019

ISIPTA 2019 is the 20-year anniversary edition of the world's main forum on imprecise probabilities, a collective term for all uncertainty frameworks that either extend or replace the probabilistic one. It takes place from 3 to 6 July 2019 in Ghent, Belgium KUZNETSOV'S BOOK ''INTERVAL STATISTICAL MODELS'' The Society for Imprecise Probabilities: Theories and Applications. Home; News The Society Executive committee DOCUMENTATIONSECTION SOCIETYFOR HTTP://WWW.SIPTA 2 DAVID HARMANEC (1) When Bel is a probability measure, U collapses to the Shannon entropy, i.e., U(Bel) = X x2X Bel(fxg)log2 Bel(fxg): (2 HOW TO CHOOSE AMONG CHOICE FUNCTIONS How to Choose Among Choice Functions Seamus Bradley Munich Centre for Mathematical Philosophy LMU, Munich seamus.bradley@lmu.de Abstract If one models an agent's degrees of belief by a set A POINTWISE ERGODIC THEOREM FOR IMPRECISE MARKOV CHAINS 3.1 Event Trees, Situations, Paths and Cuts We will use, for any natural k `, the notation X k:` for the tuple (X k;:::;X `), which can be seen as a variable assumed to CHAPTER 1. DESCRIPTION OF STOCHASTIC EVENTS Chapter 1. Description of stochastic events 1.1 Interval probabilities and means 1.2 Extension of primary means 1.3 Relations between### interval models

CALCULATING BOUNDS ON EXPECTED RETURN AND FIRST PASSAGE and L belongs to M L if and only if there is some L 2 Q L such that L (j) = 8 >< >: qL if j = L 1 rL if j = L 0 otherwise for all j 2 X . For any real-valued function f on X and any state i in X , we now consider the corresponding lower and PART 7 BAYESIAN HIERARCHICAL MODELLING, SIMULATION AND MCMC Bayesian Hierarchical Modelling, a.k.a. Bayesian (Belief) Networks, a.k.a. Graphical Models I many names for the same thing (it's a powerful tool), I will use the term Bayesian Networks (BNs) I BNs as a unifying way to think about (Bayesian) statistical models DILATION, DISINTEGRATIONS, AND DELAYED DECISIONS E c E! 4! 3 H G G c (a) (b) H H c E c G G c E c E E! 2! 4! 1! 3 Figure 1: (a) 2x2 Table for an uncertain event (row) and a fair coin randomizer (column); (b) The event THE SOCIETY FOR IMPRECISE PROBABILITY: THEORIES AND Welcome. We are SIPTA, the Society for Imprecise Probabilities: Theories and Applications, and we are convinced that there is more to uncertainty than probabilities. There is much more, in fact. Would you like to use probabilities but don’t know their exact values?### ISIPTA 2019

ISIPTA 2019 is the 20-year anniversary edition of the world's main forum on imprecise probabilities, a collective term for all uncertainty frameworks that either extend or replace the probabilistic one. It takes place from 3 to 6 July 2019 in Ghent, Belgium KUZNETSOV'S BOOK ''INTERVAL STATISTICAL MODELS'' The Society for Imprecise Probabilities: Theories and Applications. Home; News The Society Executive committee DOCUMENTATIONSECTION SOCIETYFOR HTTP://WWW.SIPTA 2 DAVID HARMANEC (1) When Bel is a probability measure, U collapses to the Shannon entropy, i.e., U(Bel) = X x2X Bel(fxg)log2 Bel(fxg): (2 HOW TO CHOOSE AMONG CHOICE FUNCTIONS How to Choose Among Choice Functions Seamus Bradley Munich Centre for Mathematical Philosophy LMU, Munich seamus.bradley@lmu.de Abstract If one models an agent's degrees of belief by a set A POINTWISE ERGODIC THEOREM FOR IMPRECISE MARKOV CHAINS 3.1 Event Trees, Situations, Paths and Cuts We will use, for any natural k `, the notation X k:` for the tuple (X k;:::;X `), which can be seen as a variable assumed to CHAPTER 1. DESCRIPTION OF STOCHASTIC EVENTS Chapter 1. Description of stochastic events 1.1 Interval probabilities and means 1.2 Extension of primary means 1.3 Relations between### interval models

CALCULATING BOUNDS ON EXPECTED RETURN AND FIRST PASSAGE and L belongs to M L if and only if there is some L 2 Q L such that L (j) = 8 >< >: qL if j = L 1 rL if j = L 0 otherwise for all j 2 X . For any real-valued function f on X and any state i in X , we now consider the corresponding lower and PART 7 BAYESIAN HIERARCHICAL MODELLING, SIMULATION AND MCMC Bayesian Hierarchical Modelling, a.k.a. Bayesian (Belief) Networks, a.k.a. Graphical Models I many names for the same thing (it's a powerful tool), I will use the term Bayesian Networks (BNs) I BNs as a unifying way to think about (Bayesian) statistical models DILATION, DISINTEGRATIONS, AND DELAYED DECISIONS E c E! 4! 3 H G G c (a) (b) H H c E c G G c E c E E! 2! 4! 1! 3 Figure 1: (a) 2x2 Table for an uncertain event (row) and a fair coin randomizer (column); (b) The event### SIPTA HOMEPAGE

This is the home page of SIPTA (Society for Imprecise Probability: Theories and Applications).Here you can find information about the conferences and the schools that the Society organizes. We also provide some sources for information about imprecise probabilities### mantained by SIPTA.

ARTICLES AND BYLAWS OF SIPTA Articles and Bylaws of SIPTA. The SIPTA Society was created in 2002 with the aim of promoting research on imprecise probability. The following articles and bylaws, approved by the Constituting and General Meetings of the Society, outline the directives for the daily affairs of the society. ISIPTA '05: FOURTH INTERNATIONAL SYMPOSIUM ON IMPRECISE FOURTH INTERNATIONAL SYMPOSIUM ON IMPRECISE PROBABILITIES AND THEIR APPLICATIONS Carnegie Mellon University Pittsburgh, PA, USA July 20-23### 2005

GAME-THEORETIC FOUNDATIONS FOR IMPRECISE PROBABILITIES Introduction Testing with limited betting opportunities Further developments MTP vs GTP Measure-theoretic probability (MTP): probability is a basic CALCULATING BOUNDS ON EXPECTED RETURN AND FIRST PASSAGE and L belongs to M L if and only if there is some L 2 Q L such that L (j) = 8 >< >: qL if j = L 1 rL if j = L 0 otherwise for all j 2 X . For any real-valued function f on X and any state i in X , we now consider the corresponding lower and ROBUST BAYES FACTOR FOR INDEPENDENT TWO-SAMPLE COMPARISONS Proceedings of Machine Learning Research 103:167–174, 2019 ISIPTA 2019 Robust Bayes Factor for Independent Two-Sample Comparisons under Imprecise Prior Information ON THE COMPLEXITY OF PROPOSITIONAL AND RELATIONAL CREDAL X 1 X 2 X 3 X 4 X 5 P (X 1 = 1) 1=2 P (X 2 = 1) 2 P (X 3 = 1) = 1 =5 X4, X1 ^2 5 3 4 Figure 1: A simple credal network. set of 2n truth assignments. Associate a binary variable X i with atomic proposition A i, such that X i(!(! ) = 0 when A i is false, and X i(!(! ) = 1 when A i is true, for ! 2 Our credal networks are to be speci ed over X 1;:::;X n; to simplify the presentation, THE MAXIMAL VARIANCE OF FUZZY INTERVAL The Maximal Variance of Fuzzy Interval A.G. BRONEVICH Taganrog State University of Radio-Engineering, Russia Bremen University, Germany Abstract The paper gives the solution of calculating maximal variance### of fuzzy inter-

### E'

n . p :H M e p 8.1. TIYCTh e - 3a,naIOIUHH ('O,ll,HOMepHhIH HJIH MHoroMepHbIH) na paMeTp; ,ll,JIH Ka2K,ll,orOero 3'HalIeHHH BBO,ll,HTCH MO,ll,eJIh J(e H no HeH clIHTe3HipyeT CH pernaIOIUee npaBHJIO 0e (B03M02KHO, OnTHMaJIbHoe). BH,ll, 3Toro npaBJ1JIa onpe COHERENT UPPER CONDITIONAL PREVISIONS AND THEIR … coherent upper conditional previsions and their choquet integral representation with respect to hausdorff outer measures-separately### coherent upper

### SIPTA

The Society for Imprecise Probabilities: Theories and Applications### * Home

### * News

### * The Society

* Executive committee * Articles and bylaws### * General meetings

### * Events

### * ISIPTA

### * SIPTA School

### * Related events

* Info and Resources### * Mailing list

### * Stack exchange

### * Documentation

### * Software

### * Kuznetsov's book

### * Archive

### * Blog

### WELCOME

We are SIPTA, the _Society for Imprecise Probabilities: Theories and Applications_, and we are convinced that there is more to uncertainty than probabilities. There is much more, in fact. Would you like to use probabilities but don’t know their exact values? Or would you like to model uncertainty without any probabilities at all? Know then that there are numerous mathematical models that can measure chance or uncertainty without sharp numerical probabilities. We refer to these as imprecise probabilities. Would you like to know more? Do you work on these topics but don’t know the community that well? SIPTA aims to connect you to the right people, direct you to relevant events , and provide you with basic information and resources . Make sure to subscribe to our mailing list , and hopefully we’ll see each other at SIPTA’s next conference### or school .

### LATEST NEWS

### *

### 04-05-2021

SIPTA has a new website### *

### 03-05-2021

ISIPTA 2021 - Attending in person### *

### 22-04-2021

ISIPTA 2021 - Poster and award deadlines### *

### 20-03-2021

Video recordings of the SIPTA school 2020/2021 are available### *

### 16-10-2020

Invitation to participate in a translation project for Kuznetsov's### book

### *

### 22-09-2020

ISIPTA 2021 - Find out more at the conference website### >

Last update May 5, 2021 | webmaster# Details

Copyright © 2022 ArchiveBay.com. All rights reserved. Terms of Use | Privacy Policy | DMCA | 2021 | Feedback | Advertising | RSS 2.0