Concept

Conditional independence

Related publications (41)

Analysis of Implicit Choice Set Generation Using the Constrained Multinomial-Logit Model

Michel Bierlaire, Gunnar Flötteröd, Ricardo Daniel Hurtubia González

Discrete choice models are defined conditional to the knowledge of the actual choice set by the analyst. The common practice for many years is to assume that individual-based choice sets can be deterministically generated based on the choice context and th ...

2010

Anthropic Correction of Information Estimates

Michael Christoph Gastpar

A novel estimator for mutual information is proposed. The estimator is useful for the (asymmetric) scenario where only a few samples for one random variable are available, but for each sample, the conditional distribution of the other random variable can b ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2009

Experimental analysis of the implicit choice set generation using the Constrained Multinomial Logit model

Michel Bierlaire, Gunnar Flötteröd, Ricardo Daniel Hurtubia González

Discrete choice models are defined conditional to the knowledge of the actual choice set by the analyst. The common practice for is to assume that individual-based choice sets can be deterministically generated based on the choice context and the character ...

2009

Closed-form solutions to stochastic switching problems

Erwan Morellec

This paper studies the price of an asset depending on both a fundamental and possible interventions of an authority. Using the martingale approach in continuous time, we provide closed-form solutions to switching problems involving irreversible, state depe ...

2008

A Class Of Mean Field Interaction Models for Computer and Communication Systems

Jean-Yves Le Boudec

We consider models of N interacting objects, where the interaction is via a common resource and the distribution of states of all objects. We introduce the key scaling concept of intensity; informally, the expected number of transitions per object per time ...

2008

Exploring Contextual Information in a Layered Framework for Group Action Recognition

Daniel Gatica-Perez, Samy Bengio, Dong Zhang

Contextual information is important for sequence modeling. Hidden Markov Models (HMMs) and extensions, which have been widely used for sequence modeling, make simplifying, often unrealistic assumptions on the conditional independence of observations given ...

2006

Exploring Contextual Information in a Layered Framework for Group Action Recognition

Daniel Gatica-Perez, Samy Bengio, Dong Zhang

IDIAP2006

Probabilistic Estimation of Peers’ Quality and Behaviors for Subjective Trust Evaluation

Karl Aberer

The management of trust and quality in decentralized systems has been recognized as a key research area over recent years. In this paper, we propose a probabilistic computational approach to enable a peer in the system to model and estimate the quality and ...

2006

Speaker recognition in noisy environments using auxiliary information and Bayesian networks

Speaker recognition systems achieve acceptable performance in controlled laboratory conditions. However, in real-life environments, the performance of a speaker recognition system degrades drastically, the principal cause being the mismatch that exists bet ...

EPFL2006

Conditionally least-informative distributions: The case of the location parameter

Stephan Morgenthaler

We extend a basic result of Huber's on least favorable distributions to the setting of conditional inference, using an approach based on the notion of log-Gâteaux differentiation and perturbed models. Whereas Huber considered intervals of fixed width for l ...

2005

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