Publications related to A bottom-up stochastic model to predict building occupants' time-dependent activities

Multi-experts scheduling system for real-time applications

This thesis focuses on the decisional process of autonomous systems, and more particularly, on the way to take a decision when the time at disposal in order to assess the whole situation is shorter than necessary. Indeed, numerous systems propose solutions ...

EPFL2009

Inferring the activities of smartphone users from context measurements using Bayesian inference and random utility models

Michel Bierlaire, Gunnar Flötteröd, Ricardo Daniel Hurtubia González

Abstract Smartphones collect a wealth of information about their users' environment and activities. This includes GPS (global positioning system) tracks and the MAC (media access control) addresses of devices around the user, and it can go as far as taking ...

2009

Probabilistic Weighted Automata

Laurent Doyen

Nondeterministic weighted automata are finite automata with numerical weights on transitions. They define quantitative languages

L

that assign to each word

w

a real number

L(w)

. The value of an infinite word

w

is computed as the maximal value of al ...

2009

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

Michel Bierlaire, Gunnar Flötteröd, Ricardo Daniel Hurtubia González

In this paper, we compare two methods to model the formation of choice sets in the context of discrete choice models. The first method is the probabilistic approach proposed by Manski in 1977, who models the choice probability as the joint probability of s ...

2009

An experimental analysis of the implicit choice set generation using the Constrained Multinomial Logit Model

Michel Bierlaire, Gunnar Flötteröd, Ricardo Daniel Hurtubia González

In this paper, we compare two methods to model the formation of choice sets in the context of discrete choice models. The first method is the probabilistic approach proposed by Manski (1977), who models the choice probability as the joint probability of se ...

2009

GENERATING PROBABILISTIC PATH OBSERVATION FROM GPS DATA FOR ROUTE CHOICE MODELING

Michel Bierlaire, Jingmin Chen, Jeffrey Newman

Abstract: Map matching algorithms are the conventional way to generate path observations from GPS data for route choice models. The deterministic matching may introduce extra biases to parameters of route choice models if the matching is wrong. In this pap ...

2009

Approximation of Event Probabilities in Noisy Cellular Processes

Maria-Emanuela-Canini Mateescu, Verena Wolf

Molecular noise, which arises from the randomness of the discrete events in the cell, significantly influences fundamental biological processes. Discrete-state continuous-time stochastic models (CTMC) can be used to describe such effects, but the calculati ...

Springer-Verlag New York, Ms Ingrid Cunningham, 175 Fifth Ave, New York, Ny 10010 Usa2009

Modulation of Attentional Capture by Display Probabilities in Visual Search

Michael Herzog, Bilge Sayim

Attentional capture is often thought to be automatic and not modulable. For example, visual search experiments showed that salient distractor singletons strongly capture attention even when they had to be ignored by the observers. Recently, however, it was ...

2009

Convexity bounds for BSDE solutions, with applications to indiﬀerence valuation

Christoph Frei, Semyon Malamud

We consider backward stochastic diﬀerential equations (BSDEs) with a particular quadratic generator and study the behaviour of their solu- tions when the probability measure is changed, the ﬁltration is shrunk, or the underlying probability space is transf ...

2009

Valuation of electricity swing options by multistage stochastic programming

Daniel Kuhn

Electricity swing options are Bermudan-style path-dependent derivatives on electrical energy. We consider an electricity market driven by several exogenous risk factors and formulate the pricing problem for a class of swing option contracts with energy and ...

Elsevier2009

A bottom-up stochastic model to predict building occupants' time-dependent activities

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Multi-experts scheduling system for real-time applications

Inferring the activities of smartphone users from context measurements using Bayesian inference and random utility models

Probabilistic Weighted Automata

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

An experimental analysis of the implicit choice set generation using the Constrained Multinomial Logit Model

GENERATING PROBABILISTIC PATH OBSERVATION FROM GPS DATA FOR ROUTE CHOICE MODELING

Approximation of Event Probabilities in Noisy Cellular Processes

Modulation of Attentional Capture by Display Probabilities in Visual Search

Convexity bounds for BSDE solutions, with applications to indiﬀerence valuation

Valuation of electricity swing options by multistage stochastic programming

Multi-experts scheduling system for real-time applications

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

GENERATING PROBABILISTIC PATH OBSERVATION FROM GPS DATA FOR ROUTE CHOICE MODELING

Probabilistic Weighted Automata

Inferring the activities of smartphone users from context measurements using Bayesian inference and random utility models

Modulation of Attentional Capture by Display Probabilities in Visual Search

An experimental analysis of the implicit choice set generation using the Constrained Multinomial Logit Model

Approximation of Event Probabilities in Noisy Cellular Processes

Valuation of electricity swing options by multistage stochastic programming

Convexity bounds for BSDE solutions, with applications to indiﬀerence valuation