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2022 Spain

Conference

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20 Oct 2022

Madrid, Spain,

Ramón y Cajal  Hospital

M-607, 9, 100, 28034

The 2022 Spain Stata Conference was held in Madrid on 20 October. 

 

Organized by Timberlake, the Spain Stata Conference is an opportunity to network with researchers from all disciplines, engage with StataCorp's developers, and learn new and exciting applications of Stata.

Experience what happens when new and long-time Stata users from across all disciplines gather to discuss real-world applications of Stata.

If you are interested in attending the Spain Stata Conference please contact Timberlake Consulting, timberlake@timberlakeconsulting.com.

 

2022 Spain Stata Conference | Madrid, Spain, Ramón y Cajal Hospital M-607, 9, 100, 28034

Thursday 20 October 2022
(Madrid Time)

9:30 - 9:45
15 minutes

Presentación de la jornada

9:45 - 10:15
30 minutes

Interactive graphs with Stata

Modesto Escobar (modesto@usal.es)

10:15 - 10:45
30 minutes

Implementación de diferentes métodos de Propensity Score Matching (PSM) en Stata.

Laura del Campo Albendea (ldelcamp2@gmail.com)

10:45 - 11:15
30 minutes

A Stata 17 implementation of the local ratio autonomy: calling Python

Jose L. Sáez-Lozano (josaez@ugr.es)

11:15 - 11:45
30 minutes

Descanso

11:45 - 12:45
60 minutes

Introduction to Bayesian VAR estimation in Stata

Gustavo Sanchez

12:45 - 13:15
30 minutes

Ensemble Learning Targeted Maximum Likelihood Estimation for Stata Users

13:15 - 13:45
30 minutes

mpitb: A toolbox for multidimensional poverty indices

Nicolai Suppa (nsuppa@ced.uab.es)

13:45 - 14:45
30 minutes

Comida

14:45 - 15:15
30 minutes

Agent-Model Based calling Python from Stata 17. An application to spatial voting theory

Jose L. Sáez-Lozano (josaez@ugr.es)

15:15 - 15:45
30 minutes

Sugerencias, ruegos y preguntas 

15:45 - 16:00
15 minutes

Despedida

StataCorp Invited Speaker

We are excited to announce the StataCorp invited speaker

Gustavo Sanchez, Director of Technical Services. 

Title: Introduction to Bayesian VAR estimation in Stata

 

Abstract:

The use of the Bayesian approach for regression analysis is spreading more across different disciplines. The possibility to incorporate a priori information in the form of probability distributions for the parameters of the model makes this approach highly appealing when the researcher has that knowledge. Bayesian vector autoregressive models (BVAR) are particularly attractive because the overparameterization present in many VAR models can be handled by using prior probability distributions that allow shrinking the parameter space. In this presentation, I will briefly highlight the general elements associated with Bayesian VAR models, and I will use a couple of examples to illustrate the way Stata implements the estimation for the parameters of a VAR model using the Bayesian approach and how we can get probabilities for events that combine levels for the different endogenous variables of the model.

Spanish:

Título: Introducción a la estimación de modelos VAR Bayesianos usando Stata

  

El uso del enfoque bayesiano para el análisis de regresión se ha ha ido extendiendo en diferentes disciplinas. La posibilidad de incorporar información a priori a través de distribuciones de probabilidad para los parámetros del modelo hace que este enfoque sea muy atractivo cuando el investigador tiene ese conocimiento acerca de los parámetros. Los modelos de vectores autorregresivos bayesianos (BVAR) son particularmente convenientes porque la sobreparametrización presente en muchos modelos VAR puede ser manejada mediante el uso de distribuciones de probabilidad a priori que permiten reducir el espacio de parámetros. En esta presentación, destacaré brevemente los aspectos generales asociados a los modelos VAR bayesianos, y usaré un par de ejemplos para ilustrar la forma en que Stata implementa la estimación de los parámetros para un modelo VAR utilizando el enfoque bayesiano, y la manera en que podemos estimar probabilidades para eventos que combinan niveles de las diferentes variables endógenas del modelo.

 
 

The Scientific Organisers

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Taking Place In Madrid, Spain

Madrid, Spain

The Conference will be hosted in person in Madrid. 

The exact location: 

Madrid, Spain,

Ramón y Cajal  Hospital

M-607, 9, 100, 28034

If you have any specific enquiries about the conference, please contact timberlake@timberlakeconsulting.com.

 

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D. Alfonso Muriel

Unidad de Bioestadística Clínica
Hospital Universitario Ramón y Cajal IRYCIS, (CIBERESP).


Departamento de Enfermería y Fisioterapia, Universidad de Alcalá.

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D. Javier Zamora

Unidad de Bioestadística Clínica. Hospital Universitario Ramón y Cajal IRYCIS (CIBERESP).


Professor of Biostatistics in Maternal and Perinatal Health, University of Birmingham, UK.

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D. Modesto Escobar

Dpto. Sociología y Comunicación. Universidad de Salamanca

Logistics Organisers

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Timberlake has been successfully distributing Stata to customers since 1985 and has forty years of experience in providing expert solutions in all fields of data science, statistics and econometrics. Timberlake offers all customers fast, professional, and knowledgeable service and can meet the support requirements of all levels of Stata users through purchase, installation, and technical support as well as through our extensive schedule of the classroom, onsite, and online training courses that we offer globally.

 

Timberlake is the Stata distributor to Spain, United Kingdom, Ireland, France, Portugal, Middle East and North Africa, Brazil, and Poland.

For further information, please contact:
Timberlake Consulting S.L
Tel: +34 95 560 1430 / timberlake@timberlakeconsulting.com

https://www.timberlake.es/