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The Gauss-Marquardt-Levenberg (GML) method of computer-based parameter estimation, in common with other gradient-based approaches, suffers from the drawback that it may become trapped in local objective function minima, and thus report optimized parameter values that are not, in fact, optimized...
Persistent link: https://www.econbiz.de/10009447949
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
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
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
As the popularity of social networks expands, the information users expose to the public has potentially dangerous implications for individual privacy. While social networks allow users to restrict access to their personal data, there is currently no mechanism to enforce privacy concerns over...
Persistent link: https://www.econbiz.de/10009477767
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
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
corresponding factor graph representation exist.In order to perform inference in such graphs, we describe the `derivative … inference and estimation of CDNs. …
Persistent link: https://www.econbiz.de/10009455298
Persistent link: https://www.econbiz.de/10010353200
The bootstrap is a convenient tool for calculating standard errors of the parameters of complicated econometric models. Unfortunately, the fact that these models are complicated often makes the bootstrap extremely slow or even practically infeasible. This paper proposes an alternative to the...
Persistent link: https://www.econbiz.de/10011460667