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Decomposing the Congestion Effect and the Cross-Platform Effect inTwo-Sided Networks: A Field Experiment

Tucker, Catherine; Zhang, Juanjuan - MIT Sloan School of Management; MIT Sloan School of … - 2008

This paper highlights how the provision of information about userparticipation can serve as a strategic marketing tool for firms seekingto grow two-sided exchange networks. A two-sided exchange network is abusiness model (such as Ebay or Craiglist) where revenue is generatedfrom persuading...

Persistent link: https://www.econbiz.de/10009435138

Towards Inference and Learning in Dynamic Bayesian Networks using Generalized Evidence

Langmead, Christopher J. - 2008

This report introduces a novel approach to performing inference and learning in Dynamic Bayesian Networks (DBN). The … traditional approach to inference and learning in DBNs involves conditioning on one or more finite-length observation sequences … solving inference problems (i.e., computing P(X|Φ)) and learning problems (i.e., computing P(Θ|Φ)) using techniques from the …

Persistent link: https://www.econbiz.de/10009441211

'n Ondersoek na die eindige steekproefgedrag van inferensiemetodes in ekstreemwaarde-teorie

Van Deventer, Dewald - 2005

Extremes are unusual or rare events. However, when such events – for exampleearthquakes, tidal waves and market crashes - do take place, they typically causeenormous losses, both in terms of human lives and monetary value. For this reason,it is of critical importance to accurately model...

Persistent link: https://www.econbiz.de/10009442025

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

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

Multi-party privacy risks in social networks

Thomas, Kurt A. - 2010

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

Efficient accommodation of local minima in watershed model calibration

Skahill, B. E.; Doherty, J. E. - 2006

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

Cumulative Distribution Networks: Inference, Estimation and Applications of Graphical Models for Cumulative Distribution Functions

Huang, Jim C. - 2009

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

Estimating and Correcting the Effects of Model Selection Uncertainty ; Estimating and Correcting the Effects of Model Selection Uncertainty

Nguefack Tsague, Georges Lucioni Edison - 2006

Persistent link: https://www.econbiz.de/10010353200