A case study of model selection and parameter inference by maximum likelihood with application to uncertainty analysis

1998 ◽  
Vol 7 (1) ◽  
pp. 63-73 ◽  
Author(s):  
Eulogio Pardo-Igúzquiza ◽  
Peter A. Dowd
Keyword(s):  
Maximum Likelihood ◽  
Model Selection ◽  
Uncertainty Analysis ◽  
Parameter Inference

scholarly journals Computational Modeling of Music Cognition: A Case Study on Model Selection

2006 ◽  
Vol 23 (5) ◽  
pp. 365-376 ◽  
Author(s):  
Henkjan Honing
Keyword(s):  
Model Selection ◽  
Strong Evidence ◽  
Goodness Of Fit ◽  
Computational Models ◽  
Recent Literature ◽  
Music Cognition ◽  
Kinematic Model ◽  
Music Performance ◽  
Limited Range

While the most common way of evaluating a computational model is to see whether it shows a good fit with the empirical data, recent literature on theory testing and model selection criticizes the assumption that this is actually strong evidence for the validity of a model. This article presents a case study from music cognition (modeling the ritardandi in music performance) and compares two families of computational models (kinematic and perceptual) using three different model selection criteria: goodness-of-fit, model simplicity, and the degree of surprise in the predictions. In the light of what counts as strong evidence for a model’s validity—namely that it makes limited range, nonsmooth, and relatively surprising predictions—the perception-based model is preferred over the kinematic model.

scholarly journals The Effect of Corruption on International Trade: A Case Study of Indonesian Trade to Nine Countries

2018 ◽  
Vol 13 (1) ◽  
Author(s):  
Danang Ibnu Atsir ◽  
Sunaryati Sunaryati
Keyword(s):  
International Trade ◽  
Maximum Likelihood ◽  
Gravity Model ◽  
Bilateral Trade ◽  
Panel Data Analysis ◽  
Random Effect ◽  
Likelihood Method ◽  
Geographical Distance ◽  
Pseudo Maximum Likelihood

Corruption is a form of abuse of ethical authority by public officials, which is divided into two parts: bribery and forced collection. The effect of corruption like bribes and illegal levies is widespread in the public sector. One interesting investigation is the effect of corruption on international trade. Corruption becomes a barrier in international trade, where corruption plays a role in the access of trade goods and services from within and abroad. Using the gravity model, the focus of this research was the effect of corruption on international trade by taking a case study of Indonesia’s bilateral trade with its nine largest export destination countries. Using panel data, analysis tools used in this research were common effect, fixed effect, random effect and poisson pseudo maximum likelihood (PPML). In this research, it was found that geographical distance variable in its fixed units caused the omitted variable so that the error term correlated with independent variables. In order to overcome the problem, poisson pseudo maximum likelihood method was used in performing regression gravity model with linear log form, so the omitted variable issue on the geographical distance can be eliminated. The results of this research concluded that corruption played a role in international trade through bureaucratic mechanisms of trade and investment licensing and the effect of corruption was more detrimental to exporters.Keywords:   Gravity Model, Corruption, International Trade, Poisson Pseudo Maximum Likelihood (PPML).

scholarly journals A MATLAB Toolbox for Modeling Genetic Circuits in Cell-Free Systems

2020 ◽  
Author(s):  
Vipul Singhal ◽  
Zoltan A. Tuza ◽  
Zachary Z. Sun ◽  
Richard M. Murray
Keyword(s):  
Reaction Rate ◽  
Behavior Prediction ◽  
Genetic Circuits ◽  
Matlab Toolbox ◽  
Parameter Inference ◽  
Batch Mode ◽  
E Coli ◽  
Entire Duration ◽  
Resource Loading

AbstractWe introduce a MATLAB based simulation toolbox, called txtlsim, for an E. coli based Transcription-Translation (TX-TL) system. This toolbox accounts for several cell-free related phenomena, such as resource loading, consumption, and degradation, and in doing so, models the dynamics of TX-TL reactions for the entire duration of batch-mode experiments. We use a Bayesian parameter inference approach to characterize the reaction rate parameters associated with the core transcription, translation and mRNA degradation mechanics of the toolbox, allowing it to reproduce constitutive mRNA and protien expression trajectories. We demonstrate the use of this characterized toolbox in a circuit behavior prediction case study for an incoherent feed-forward loop.

Sign in / Sign up

Export Citation Format

Share Document