Publications related to A generic calibration framework for joint estimation of car following models using microscopic data

Parameter Determination of Sensor Stochastic Models under Covariate Dependency

Jan Skaloud, Stéphane Guerrier, Philipp Clausen

The proliferation of (low-cost) sensors provokes new challenges in data fusion. This is related to the correctness of stochastic characterization that is a prerequisite for optimal estimation of parameters from redundant observations. Different (statistica ...

2017

Structural estimation for route choice models considering link specificity of measurement error variances

Yuki Oyama

For estimating parameters of discrete choice models, observations corresponding to the models are required. In the context of route choice models, we need the information of paths, which are sequences of links and connect between the origin-destination pa ...

2017

Approximate maximum likelihood estimation for population genetic inference

Gregory Bruce Ewing

In many population genetic problems, parameter estimation is obstructed by an intractable likelihood function. Therefore, approximate estimation methods have been developed, and with growing computational power, sampling-based methods became popular. Howev ...

De Gruyter2017

Discrete-continuous maximum likelihood for the estimation of nested logit models

Michel Bierlaire, Matthieu Marie Cochon de Lapparent, Virginie Janine Camille Lurkin, Anna Fernández Antolín

In this paper we aim at integrating the selection of a nesting structure to the maximum likelihood framework of the parameter estimation. Given a finite set of nesting structures, the traditional approach is to estimate the models corresponding to each of ...

2017

Optimizing the acceleration and resolution of three-dimensional fat image navigators for high-resolution motion correction at 7T

José Pedro Rebelo Ferreira Marques, Daniel Gallichan

PURPOSE: To investigate the effect of spatial resolution and parallel imaging acceleration factor on the quality of the motion estimates derived from image navigators with a three-dimensional (3D) gradient-recalled echo (GRE) acquisition with fat excitatio ...

Wiley-Blackwell2017

Bayesian Calibration of Thermal-Hydraulics Model with Time-Dependent Output

Andreas Pautz, Damar Canggih Wicaksono, Omar Zerkak

The currently adopted practice for uncertainty quantification of thermal-hydraulics code predictions is done through statistical sampling where the code is evaluated multiple times using different values of input parameters that are randomly generated acco ...

2016

Renormalization and blow up for wave maps from $S^2 \times \mathbb{R}$ to $S^2$

Sohrab Mirshams Shahshahani

We construct a one parameter family of nite time blow ups to the co-rotational wave maps problem from

S^2\times R

to

S^2

parameterized by

\nu \epsilon (\frac{1}{2},1]

. The longitudinal function

u(t,\alpha)

which is the main object of study will be ...

2016

What population reveals about individual cell identity: Single-cell parameter estimation of models of gene expression in yeast

Giancarlo Ferrari Trecate

Significant cell-to-cell heterogeneity is ubiquitously observed in isogenic cell populations. Consequently, parameters of models of intracellular processes, usually fitted to population-averaged data, should rather be fitted to individual cells to obtain a ...

2016

Dynamic Valuation of Delinquent Credit-Card Accounts

Thomas Alois Weber

This paper introduces a dynamic model of the stochastic repayment behavior exhibited by delinquent credit-card accounts. Based on this model, we construct a dynamic collectability score (DCS) which estimates the account-speciﬁc probability of collecting a ...

Management Science2015

Dynamic Valuation of Delinquent Credit Card Accounts

Thomas Alois Weber

This paper introduces a dynamic model of the stochastic repayment behavior exhibited by delinquent creditcard accounts. Based on this model, we construct a dynamic collectability score (DCS) that estimates the account-specific probability of collecting a g ...

INFORMS2015

A generic calibration framework for joint estimation of car following models using microscopic data

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Parameter Determination of Sensor Stochastic Models under Covariate Dependency

Structural estimation for route choice models considering link specificity of measurement error variances

Approximate maximum likelihood estimation for population genetic inference

Discrete-continuous maximum likelihood for the estimation of nested logit models

Optimizing the acceleration and resolution of three-dimensional fat image navigators for high-resolution motion correction at 7T

Bayesian Calibration of Thermal-Hydraulics Model with Time-Dependent Output

Renormalization and blow up for wave maps from $S^2 \times \mathbb{R}$ to $S^2$

What population reveals about individual cell identity: Single-cell parameter estimation of models of gene expression in yeast

Dynamic Valuation of Delinquent Credit-Card Accounts

Dynamic Valuation of Delinquent Credit Card Accounts

Bayesian Calibration of Thermal-Hydraulics Model with Time-Dependent Output

Dynamic Valuation of Delinquent Credit-Card Accounts

Dynamic Valuation of Delinquent Credit Card Accounts

What population reveals about individual cell identity: Single-cell parameter estimation of models of gene expression in yeast

Approximate maximum likelihood estimation for population genetic inference

Parameter Determination of Sensor Stochastic Models under Covariate Dependency

Renormalization and blow up for wave maps from $S^2 \times \mathbb{R}$ to $S^2$

Structural estimation for route choice models considering link specificity of measurement error variances

Discrete-continuous maximum likelihood for the estimation of nested logit models

Optimizing the acceleration and resolution of three-dimensional fat image navigators for high-resolution motion correction at 7T