The diachronic Bayesian

08/24/2023
by   Vladimir Vovk, et al.
0

It is well known that a Bayesian's probability forecast for the future observations should form a probability measure in order to satisfy natural conditions of coherency. The topic of this paper is the evolution of the Bayesian's probability measure in time. We model the process of updating the Bayesian's beliefs in terms of prediction markets. The resulting picture is adapted to forecasting several steps ahead and making almost optimal decisions.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
03/06/2013

Belief Revision in Probability Theory

In a probability-based reasoning system, Bayes' theorem and its variatio...
research
03/13/2020

Ergodic theorems for imprecise probability kinematics

In a standard Bayesian setting, there is often ambiguity in prior choice...
research
02/17/2015

Design of a Framework to Facilitate Decisions Using Information Fusion

Information fusion is an advanced research area which can assist decisio...
research
07/16/2019

Unforeseen Evidence

I proposes a normative updating rule, extended Bayesianism, for the inco...
research
02/14/2012

Price Updating in Combinatorial Prediction Markets with Bayesian Networks

To overcome the #P-hardness of computing/updating prices in logarithm ma...
research
05/16/2021

Order Effects in Bayesian Updates

Order effects occur when judgments about a hypothesis's probability give...
research
02/20/2020

Stochastic Decision-Making Model for Aggregation of Residential Units with PV-Systems and Storages

Many residential energy consumers have installed photovoltaic (PV) panel...

Please sign up or login with your details

Forgot password? Click here to reset