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Inference in Hybrid Bayesian Networks Using Mixtures of Gaussians

Shenoy, Prakash P. - 2006

The main goal of this paper is to describe a method for exact inference in general hybrid Bayesian networks (BNs) (with …

Persistent link: https://www.econbiz.de/10009430949

Inference after discretizing unobserved heterogeneity

Beyhum, Jad; Mugnier, Martin - 2024

version of the model studied in Bonhomme et al. (2022). We show that inference is possible in this setting using a …

Persistent link: https://www.econbiz.de/10015193955

Synthetic Difference-in-Differences Estimation

Clarke, Damian; Pailañir, Daniel; Athey, Susan; … - 2023

and when adoption is staggered over time, and discuss estimation and inference in each of these cases. We introduce the …, inference, and visualization of results. …

Persistent link: https://www.econbiz.de/10014296651

Shallow meritocracy

Andre, Peter - 2023

Meritocracies aspire to reward hard work and promise not to judge individuals by the circumstances into which they were born. However, circumstances often shape the choice to work hard. I show that people's merit judgments are "shallow" and insensitive to this effect. They hold others...

Persistent link: https://www.econbiz.de/10014420638

On the complexity of forming mental models

Kendall, Chad; Oprea, Ryan - In: Quantitative Economics 15 (2024) 1, pp. 175-211

We experimentally study how people form predictive models of simple data generating processes (DGPs), by showing subjects data sets and asking them to predict future outputs. We find that subjects: (i) often fail to predict in this task, indicating a failure to form a model, (ii) often cannot...

Persistent link: https://www.econbiz.de/10014536981

Micro responses to macro shocks

Almuzara, Martín; Sancibrián, Victor - 2024

We study estimation and inference in panel data regression models when the regressors of interest are macro shocks …. In general, including lags as controls and then clustering over the cross-section leads to simple, robust inference. …

Persistent link: https://www.econbiz.de/10014581866

Statistical Methods for Nonlinear Dynamic Models with Measurement Error Using the Ricker Model

Resendes, David Joseph - 2011

leads to biased estimates and adversely affects inference if ignored. In the literature, often convenient distribution … ignored entirely. In this thesis, ways to estimate the parameters of the Ricker model and perform inference while accounting … investigated for data on the abundance and log-abundance scales, and how inference is done via the parametric bootstrap and …

Persistent link: https://www.econbiz.de/10009468234

Estimating welfare indices: household weights and sample design

Cowell, Frank A.; Jenkins, Stephen P. - 2000

The techniques of simple random sampling are seldom appropriate in the empirical analysis of income distributions. Various types of weighting schemes are usually required either from the point of view of welfare-economic considerations (the mapping of household/family distributions into...

Persistent link: https://www.econbiz.de/10010260745

Bayesian Generalized Product Partition Model

Dunson, David - 2010

Starting with a carefully formulated Dirichlet process (DP) mixture model, we derive a generalized product partition model (GPPM) in which the partition process is predictor-dependent. The GPPM generalizes DP clustering to relax the exchangeability assumption through the incorporation of...

Persistent link: https://www.econbiz.de/10009475421

Nonparametric Bayes Conditional Distribution Modeling With Variable Selection

Dunson, David - 2009

This article considers a methodology for flexibly characterizing the relationship between a response and multiple predictors. Goals are (1) to estimate the conditional response distribution addressing the distributional changes across the predictor space, and (2) to identify important predictors...

Persistent link: https://www.econbiz.de/10009475527