Concept
Inférence causale
Publications associées (127)
Modeling dominance effects on nonverbal behaviors using granger causality
Daniel Gatica-Perez, Oya Aran, Dinesh Babu Jayagopi
In this paper we modeled the effects that dominant people might induce on the nonverbal behavior (speech energy and body motion) of the other meeting participants using Granger causality technique. Our initial hypothesis that more dominant people have gene ...
2012Bridging the Past, Present and Future: Modeling Scene Activities From Event Relationships and Global Rules
Jean-Marc Odobez, Rémi Emonet, Jagannadan Varadarajan
This paper addresses the discovery of activities and learns the underlying processes that govern their occurrences over time in complex surveillance scenes. To this end, we propose a novel topic model that accounts for the two main factors that affect thes ...
2012Large Scale Variational Bayesian Inference for Structured Scale Mixture Models
Natural image statistics exhibit hierarchical dependencies across multiple scales. Representing such prior knowledge in non-factorial latent tree models can boost performance of image denoising, inpainting, deconvolution or reconstruction substantially, be ...
2012Recent Progress in Polymorphism-Based Population Genetic Inference
The recent availability of whole-genome sequencing data affords tremendous power for statistical inference. With this, there has been great interest in the development of polymorphism-based approaches for the estimation of population genetic parameters. Th ...
Oxford University Press2012Causal models as multiple working hypotheses about environmental processes
The environmental modeller faces a dilemma. Science often demands that more and more process representations are incorporated into models (particularly to avoid the possibility of making missing process errors in predicting future response). Testing the ca ...
2012Bayesian inference from composite likelihoods, with an application to spatial extremes
Composite likelihoods are increasingly used in applications where the full likelihood is analytically unknown or computationally prohibitive. Although some frequentist properties of the maximum composite likelihood estimator are akin to those of the maximu ...
Academia Sinica, Institute of Statistical Science2012Label-free imaging of cerebral β-amyloidosis with extended-focus optical coherence microscopy
Theo Lasser, Christophe Pache, Patrick Fraering, Martin Villiger, Arno Pino Bouwens, Tristan Bolmont, Mitko Dimitrov, Corinne Berclaz
We demonstrate label-free imaging of cerebral β-amyloidosis ex vivo and in a living mouse model of Alzheimer's disease using extended focus Fourier domain optical coherence microscopy (xfOCM). xfOCM provides 3D, high-resolution images of individual β-amylo ...
Society for Neuroscience2012Causal evidence for the involvement of the neural cell adhesion molecule, NCAM, in chronic stress-induced cognitive impairments
Maria del Carmen Sandi Perez, Reto Bisaz
In rodents, chronic stress induces long-lasting structural and functional alterations in the hippocampus, as well as learning and memory impairments. The neural cell adhesion molecule (NCAM) was previously hypothesized to be a key molecule in mediating the ...
Wiley-Blackwell2011Can Equity Volatility Explain the Global Loan Pricing Puzzle?
We examine whether equity volatility can explain the difference in syndicated corporate loan spreads paid by U.S. and European borrowers first documented by Carey and Nini (2007). We argue that OLS estimates of the association between equity volatility and ...
Center for Fiscal Policy Working Paper Series2011Dynamic facial expression recognition with a discrete choice model
Michel Bierlaire, Javier Cruz Mota, Thomas Robin
A generation of new models has been proposed to handle some complex human behaviors. These models account for the data ambiguity, and there- fore extend the application field of the discrete choice modeling. The facial expression recognition (FER) is highl ...
2011