Recent & Upcoming Talks

2020

Nonparametric moment-based estimation of simulated models without optimization
Analyzing the gender pay gap with Agent-Based Modeling
A complex adaptive approach to the gender pay gap

2019

Model calibration and validation via confidence sets
Mercati per prodotti bio-based: aspetti ambientali ed imprenditoriali
The asymptotic distribution of Riesz' Energy
Econometrics, Prediction and Explanation
Spot the differences! The Simulated Minimum-Distance Method
A simulated minimum-distance method for the calibration of ABMs
A simulated minimum-distance method for the calibration of ABMs

2017

Theory of Measurement and Decision Making II. Sensation Measurement
Generic Approximation of Stochastic Programming Problems
Power analysis for Agent-Based Modeling
An introduction to social-science simulation

2016

Measurement theory and separable forms
Asymptotic properties of growth rates

2013

Model selection as a decision problem
What makes you take advice? An integrated framework
Separable representations for monetary amounts
The error in Panjer-type approximation of compound Poisson processes
A comparison of approximations for compound Poisson processes
An experiment on corruptibility

2011

Bootstrap confidence sets for the Aumann mean of a random closed set
Separable representations in psychological theory
A comparison of approximations for compound Poisson processes
Tax evasion and the fiscal pressure: Lessons from behavioral economics
Separable representations and group decision making in the AHP
Quadrature rules and distribution of points on manifolds

2010

A comparison of approximations for compound Poisson processes
Ownership and impact of European university patents
Statistical tests of uniformity on the hypersphere
Approximations for robust optimization programs
A comparison of approximations for compound Poisson processes
Statistical tests of uniformity on the hypersphere
A comparison of approximations for compound Poisson processes
A statistical theory of nonparametric estimation in economic experiments
Ownership and impact of European university patents

2009

A statistical theory of estimation in economic experiments
The Analytic Hierarchy Process and the Theory of Measurement
When Do You Take Advice? A Model of Ethical Judgement
On embedding Gretl in a Python module
The Analytic Hierarchy Process and the Theory of Measurement
The Structure of Model Selection

2008

Psychological distortions in multiple-criteria decision making
Psychological distortions in multiple-criteria decision making
A statistical theory of estimation in economic experiments
Psychological distortions in multiple-criteria decision making
A statistical theory of estimation in economic experiments
Computing Weighted Chi-square Distributions and Related Quantities
Psychological distortions in multiple-criteria decision making
Parametric estimation in psychophysical experiments
Asymptotic Properties of Growth Rates

2007

Generic Approximation of Stochastic Programming Problems
Diaphonies on Sobolev classes of functions
Generic Approximation of Stochastic Programming Problems
Measurement by Subjective Estimation: Testing for Separable Representations
A statistical theory of estimation in economic experiments
Diaphonies on Sobolev classes of functions

2006

Generalized Discrepancies on Spheres of Arbitrary Dimension
GEAR: GNU Econometric Analysis with R
Consistency in Conditional Volatility Models
Approximation of the Asymptotic Distribution of Quadratic Discrepancies
The Diffusion of Complementary Technologies: An Empirical Test
Estimation in Discrete Parameter Models

2005

The Diffusion of Complementary Technologies: An Empirical Test
The Diffusion of Complementary Technologies: An Empirical Test
Persistence in Ecological Models
Confidence Sets for the Aumann Mean of a Random Closed Set
A Test for Stochastic Boundedness
The Diffusion of Complementary ICTs: An Empirical Test
Asymptotic Properties of Growth Rates
Asymptotic Properties of Growth Rates
Generic Approximation of Stochastic Programming Problems
The Structure of Model Selection

2004

Estimation in Discrete Parameter Models
Generic Epigraphical Laws of Large Numbers
Estimation in Discrete Parameter Models
A New Approach to Model Selection
An Experimental Study on Saaty Pairwise Comparison Scale
Statistical Properties of Generalized and Quadratic Discrepancies
Approximation of Stochastic Programming Problems
Confidence Sets for the Aumann Mean of a Random Closed Set
Analytic Hierarchy Process, A Psychometric Approach

2002

Statistical Properties of Generalized Discrepancies
Statistical Properties of Generalized Discrepancies
Persistence: Characterizations, Measures and Testing
A Condition for Stochastic Boundedness
Statistical Properties of Generalized Discrepancies
Estimation in Discrete Parameter Models
A Functional Version of the Birkhoff Ergodic Theorem for a Normal Integrand: A Variational Approach
Estimation in Discrete Parameter Models
Estimation in Discrete Parameter Models

2001

Non-Causality in Bivariate Binary Time Series
Analytic Hierarchy Process, A Psychometric Approach
Estimation in Discrete Parameter Models
Estimation in Discrete Parameter Models