Results 21 to 30 of about 212,453 (210)

A Directional-Linear Bayesian Network and Its Application for Clustering and Simulation of Neural Somas

IEEE Access, 2019
Neural somas perform most of the metabolic activities in the neuron and support the chemical process that generates the basic elements of the synapses, and consequently the brain activity.
Sergio Luengo-Sanchez, Pedro Larranaga, Concha Bielza   +2 more
doaj   +1 more source

Bayesian Covariance Structure Modeling of Responses and Process Data

Frontiers in Psychology, 2019
A novel Bayesian modeling framework for response accuracy (RA), response times (RTs) and other process data is proposed. In a Bayesian covariance structure modeling approach, nested and crossed dependences within test-taker data (e.g., within a testlet ...
Konrad Klotzke, Jean-Paul Fox
doaj   +1 more source

Credal Networks under Epistemic Irrelevance [PDF]

, 2017
A credal network under epistemic irrelevance is a generalised type of Bayesian network that relaxes its two main building blocks. On the one hand, the local probabilities are allowed to be partially specified.
De Bock, Jasper
core   +2 more sources

Quantum Graphical Models and Belief Propagation [PDF]

, 2007
Belief Propagation algorithms acting on Graphical Models of classical probability distributions, such as Markov Networks, Factor Graphs and Bayesian Networks, are amongst the most powerful known methods for deriving probabilistic inferences amongst large
Accardi, Accardi, Affleck, Affleck, Aji, Asorey, Besag, Cerf, D. Poulin, Dukelsky, Fannes, Gallager, Geiger, Grimmet, Hayden, Kschischang, Lauritzen, Leifer, Lieb, M.S. Leifer, MacKay, Mézard, Mézard, Mézard, Neapolitan, Neapolitan, Nielsen, Poulin, Ruskai, Shi, Tucci, Uhlmann, Verma, Verstraete, Vidal, Vidal, Warmuth, White, Yedidia, Östlund   +39 more
core   +4 more sources

What Is a Causal Graph?

Algorithms
This article surveys the variety of ways in which a directed acyclic graph (DAG) can be used to represent a problem of probabilistic causality. For each of these ways, we describe the relevant formal or informal semantics governing that representation ...
Philip Dawid
doaj   +1 more source

A local independence number condition for n-extendable graphs

Discrete Mathematics, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

A Formal Treatment of Sequential Ignorability

, 2013
Taking a rigorous formal approach, we consider sequential decision problems involving observable variables, unobservable variables, and action variables. We can typically assume the property of extended stability, which allows identification (by means of
Constantinou, Panayiota, Dawid, A. Philip   +1 more
core   +1 more source

Identifying the consequences of dynamic treatment strategies: A decision-theoretic overview

, 2010
We consider the problem of learning about and comparing the consequences of dynamic treatment strategies on the basis of observational data. We formulate this within a probabilistic decision-theoretic framework. Our approach is compared with related work
Dawid, A. Philip, Didelez, Vanessa
core   +1 more source

Transcriptional network analysis of PTEN‐protein‐deficient prostate tumors reveals robust stromal reprogramming and signs of senescent paracrine communication

Molecular Oncology, EarlyView.
Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice, Jose I. Lopez, Aitziber Ugalde‐Olano, Maite Zufiaurre, Ianire Astobiza, Natalia Martin‐Martin, Laura Bozal‐Basterra, Saioa Garcia‐Longarte, Amaia Zabala‐Letona, Sofia Rey, Aida Santos‐Martin, Miguel Unda, Ana Loizaga‐Iriarte, Mariona Graupera, Paolo Nuciforo, Arkaitz Carracedo, Isabel Mendizabal   +16 more
wiley   +1 more source

Potential outcomes and decision-theoretic foundations for statistical causality: Response to Richardson and Robins

Journal of Causal Inference
I thank Thomas Richardson and James Robins for their discussion of my article, and discuss the similarities and differences between their approach to causal modelling, based on single world intervention graphs, and my own decision-theoretic approach.
Dawid Philip
doaj   +1 more source