b'Jose M. Pe\xc3\xb1a'

research

∙ 09/21/2023

On the Probability of Immunity

This work is devoted to the study of the probability of immunity, i.e. t...

0 Jose M. Peña, et al. ∙

research

∙ 06/02/2023

Alternative Measures of Direct and Indirect Effects

There are a number of measures of direct and indirect effects in the lit...

0 Jose M. Peña, et al. ∙

research

∙ 03/08/2023

Bounding the Probabilities of Benefit and Harm Through Sensitivity Parameters and Proxies

We present two methods for bounding the probabilities of benefit and har...

0 Jose M. Peña, et al. ∙

research

∙ 09/15/2022

ρ-GNF : A Novel Sensitivity Analysis Approach Under Unobserved Confounders

We propose a new sensitivity analysis model that combines copulas and no...

0 Sourabh Balgi, et al. ∙

research

∙ 02/17/2022

Counterfactual Analysis of the Impact of the IMF Program on Child Poverty in the Global-South Region using Causal-Graphical Normalizing Flows

This work demonstrates the application of a particular branch of causal ...

0 Sourabh Balgi, et al. ∙

research

∙ 02/07/2022

Personalized Public Policy Analysis in Social Sciences using Causal-Graphical Normalizing Flows

Structural Equation/Causal Models (SEMs/SCMs) are widely used in epidemi...

0 Sourabh Balgi, et al. ∙

research

∙ 04/27/2021

Simple yet Sharp Sensitivity Analysis for Unmeasured Confounding

We present a method for assessing the sensitivity of the true causal eff...

0 Jose M. Peña, et al. ∙

research

∙ 01/20/2021

On the Non-Monotonicity of a Non-Differentially Mismeasured Binary Confounder

Suppose that we are interested in the average causal effect of a binary ...

0 Jose M. Peña, et al. ∙

research

∙ 12/21/2020

Towards Conditional Path Analysis

We extend path analysis by giving sufficient conditions for computing th...

0 Jose M. Peña, et al. ∙

research

∙ 05/27/2020

On the Monotonicity of a Nondifferentially Mismeasured Binary Confounder

Suppose that we are interested in the average causal effect of a binary ...

0 Jose M. Peña, et al. ∙

research

∙ 02/12/2020

Conditional Path Analysis in Singly-Connected Path Diagrams

We extend the classical path analysis by showing that, for a singly-conn...

0 Jose M. Peña, et al. ∙

research

∙ 11/11/2018

Unifying Gaussian LWF and AMP Chain Graphs to Model Interference

An intervention may have an effect on units other than those to which th...

0 Jose M. Peña, et al. ∙

research

∙ 06/21/2018

Identifiability of Gaussian Structural Equation Models with Dependent Errors Having Equal Variances

In this paper, we prove that some Gaussian structural equation models wi...

0 Jose M. Peña, et al. ∙

research

∙ 11/23/2017

Identification of Strong Edges in AMP Chain Graphs

The essential graph is a distinguished member of a Markov equivalence cl...

0 Jose M. Peña, et al. ∙

research

∙ 08/29/2017

Unifying DAGs and UGs

We introduce a new class of graphical models that generalizes Lauritzen-...

0 Jose M. Peña, et al. ∙

research

∙ 12/22/2016

Causal Effect Identification in Acyclic Directed Mixed Graphs and Gated Models

We introduce a new family of graphical models that consists of graphs wi...

0 Jose M. Peña, et al. ∙

research

∙ 12/04/2016

Representing Independence Models with Elementary Triplets

In an independence model, the triplets that represent conditional indepe...

0 Jose M. Peña, et al. ∙

research

∙ 11/18/2015

Alternative Markov and Causal Properties for Acyclic Directed Mixed Graphs

We extend Andersson-Madigan-Perlman chain graphs by (i) relaxing the sem...

0 Jose M. Peña, et al. ∙

research

∙ 01/27/2015

Factorization, Inference and Parameter Learning in Discrete AMP Chain Graphs

We address some computational issues that may hinder the use of AMP chai...

0 Jose M. Peña, et al. ∙

research

∙ 12/10/2013

Every LWF and AMP chain graph originates from a set of causal models

This paper aims at justifying LWF and AMP chain graphs by showing that t...

0 Jose M. Peña, et al. ∙

research

∙ 06/28/2013

Error AMP Chain Graphs

Any regular Gaussian probability distribution that can be represented by...

0 Jose M. Peña, et al. ∙

research

∙ 05/03/2013

Marginal AMP Chain Graphs

We present a new family of models that is based on graphs that may have ...

0 Jose M. Peña, et al. ∙

research

∙ 03/04/2013

Learning AMP Chain Graphs and some Marginal Models Thereof under Faithfulness: Extended Version

This paper deals with chain graphs under the Andersson-Madigan-Perlman (...

0 Jose M. Peña, et al. ∙

research

∙ 01/30/2013

Approximate Counting of Graphical Models Via MCMC Revisited

In Peña (2007), MCMC sampling is applied to approximately calculate the ...

0 Jose M. Peña, et al. ∙

research

∙ 01/16/2013

Combinatorial Optimization by Learning and Simulation of Bayesian Networks

This paper shows how the Bayesian network paradigm can be used in order ...

0 Pedro Larrañaga, et al. ∙

research

∙ 10/19/2012

On Local Optima in Learning Bayesian Networks

This paper proposes and evaluates the k-greedy equivalence search algori...

0 Jens D. Nielsen, et al. ∙

research

∙ 06/27/2012

Identifying the Relevant Nodes Without Learning the Model

We propose a method to identify all the nodes that are relevant to compu...

0 Jose M. Peña, et al. ∙

research

∙ 06/20/2012

Reading Dependencies from Polytree-Like Bayesian Networks

We present a graphical criterion for reading dependencies from the minim...

0 Jose M. Peña, et al. ∙

research

∙ 04/24/2012

Learning AMP Chain Graphs under Faithfulness

This paper deals with chain graphs under the alternative Andersson-Madig...

0 Jose M. Peña, et al. ∙

research

∙ 09/25/2011

Towards Optimal Learning of Chain Graphs

In this paper, we extend Meek's conjecture (Meek 1997) from directed and...

0 Jose M. Peña, et al. ∙

research

∙ 01/10/2011

Finding Consensus Bayesian Network Structures

Suppose that multiple experts (or learning algorithms) provide us with a...

0 Jose M. Peña, et al. ∙

research

∙ 10/21/2010

Reading Dependencies from Covariance Graphs

The covariance graph (aka bi-directed graph) of a probability distributi...

0 Jose M. Peña, et al. ∙

research

∙ 08/13/2010

Faithfulness in Chain Graphs: The Gaussian Case

This paper deals with chain graphs under the classic Lauritzen-Wermuth-F...

0 Jose M. Peña, et al. ∙

Jose M. Peña

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