Congresos/cursos/conferencias 22/11/2022

Seminario Depto. de Estadística – Universidad Carlos III día 24 de noviembre

Fecha: Jueves 24 de noviembre

Breast Cancer Awareness and Detection Workshop – ONLINE

12:00 – 12:30 Early Detection of Breast Cancer

Speaker: Dr. Leena R David, Faculty, Dept. of Medical Diagnostic Imaging, University of Sharjah, United Arab Emirates

Cancer is a leading cause of death worldwide, accounting for nearly 10 million deaths in 2020, or nearly one in six deaths. In 2020, there were 2.3 million women diagnosed with breast cancer globally. Evidence shows that cancer diagnosed in the first stages is easier to treat and has a better chance of survival. There are multiple ways available for the early detection of breast cancer. We will start by discussing breast cancer, its prevalence, common risk factors, and early detection methods, especially the self-breast examination and screening mammography. Further, the session continues to discuss the chances of prevention of breast cancer and the treatment options.

12:30 – 13:00 Decision Analysis of Breast Cancer Imaging Devices and Breast Cancer Diagnosis Algorithms of Supervised Machine Learning. Speaker:Dr. Dilber Uzun Ozsahin

Department of Medical Diagnostic Imaging, College of Health Sciences, University of Sharjah, United Arab Emirates

By diagnosing breast cancer at an early stage, women can survive and receive less aggressive treatments. There are different types of medical imaging techniques available for the diagnosis of breast cancer (such as screen-film mammography, digital mammography, ultrasound, magnetic resonance imaging, positron emission tomography, etc.); their strengths and weaknesses will be discussed using decision-making analytical approaches.Furthermore, the application of the diagnosis of breast cancer images based on supervised learning approaches will be presented, and the results of the different types of machine learning algorithms (Support Vector Machine, Random Forest, Logistic Regression, K-Nearest Neighbor, and Naive Bayes Classifiers) will be evaluated based on their parameters of accuracy, recall precision, etc., in order to propose the best alternative methodology for breast cancer diagnosis prediction.

Link: https://eu.bbcollab.com/guest/96cc655a1e86437ebd4f371ef69034b9

Para más información sobre este y otros seminarios del Departamento: http://www.est.uc3m.es/seminarios/

Sessions 3 & 4: The Statistics Wars and Their Casualties workshop (ONLINE Dec 1 & 8)

We are delighted to announce the events and speakers for Sessions 3 & 4 of The Statistics Wars and Their Casualties online workshop (Phil-Stat-Wars.com). Both sessions will be held on Thursdays from 15:00 to 18:15 pm London time/10:00 am – 1:15 pm EST, on December 1 and 8 respectively. Please see the general overview below. 

To register for the workshop, please fill out the form at this link. (If you registered for the first half of the workshop, you do not need to register again.) The slides and videos from Sessions 1 and 2 of the workshop are posted online here. Please check for updates to the schedule here. For questions, please contact: Jean Miller (Jemille6@vt.edu) or Margherita Harris (M.Harris2@lse.ac.uk). 

GENERAL OVERVIEW

December 1

Session 3 (Moderator: Daniël Lakens, Eindhoven University of Technology)

OPENING 

«What Happened So Far»: A medley (20 min) of recaps from Sessions 1 & 2: Deborah Mayo (Virginia Tech), Richard Morey (Cardiff), Stephen Senn (Edinburgh), Daniël Lakens (Eindhoven), Christian Hennig (Bologna) & Yoav Benjamini (Tel Aviv).

SPEAKERS

  • Daniele Fanelli (London School of Economics and Political Science) The neglected importance of complexity in statistics and Metascience  (Abstract)
  • Stephan Guttinger (University of Exeter) What are questionable research practices? (Abstract)
  • David J. Hand (Imperial College, London) What’s the question? (Abstract)

DISCUSSIONS:

Audience and Panels

Closing Panel: «Where Should Stat Activists Go From Here (Part i)?»: Yoav Benjamini, Daniele Fanelli, Stephan Guttinger, David Hand, Christian Hennig, Daniël Lakens, Deborah Mayo, Richard Morey, Stephen Senn

December 8

Session 4 (Moderator: Deborah Mayo, Virginia Tech)

SPEAKERS

  • Jon Williamson (University of Kent) Causal inference is not statistical inference (Abstract)
  • Margherita Harris (London School of Economics and Political Science) On Severity, the Weight of Evidence, and the Relationship Between the Two (Abstract)
  • Aris Spanos (Virginia Tech) Revisiting the Two Cultures in Statistical Modeling and Inference as they relate to the Statistics Wars and Their Potential Casualties (Abstract)
  • Uri Simonsohn (Esade Ramon Llull University) Mathematically Elegant Answers to Research Questions No One is Asking (meta-analysis, random effects models, and Bayes factors) (Abstract

DISCUSSIONS;

Audience and Panels

Closing Panel: «Where Should Stat Activists Go From Here (Part ii)?»: Workshop Participants: Yoav Benjamini, Alexander Bird, Mark Burgman, Daniele Fanelli, Stephan Guttinger, David Hand, Margherita Harris, Christian Hennig, Daniël Lakens, Deborah Mayo, Richard Morey, Stephen Senn, Uri Simonsohn, Aris Spanos, Jon Williamson.

The Statistics Wars and Their Casualties

1, 8 December 2022

15:00-18:15 pm London Time

ONLINE

To register for the workshop, please fill out the registration form here.

While the field of statistics has a long history of passionate foundational controversy, the last decade has, in many ways, been the most dramatic. Misuses of statistics, biasing selection effects, and high-powered methods of big-data analysis, have helped to make it easy to find impressive-looking but spurious results that fail to replicate. As the crisis of replication has spread beyond psychology and social sciences to biomedicine, genomics, machine learning and other fields, the need for critical appraisal of proposed reforms is growing. Many are welcome (transparency about data, eschewing mechanical uses of statistics); some are quite radical. The experts do not agree on the best ways to promote trustworthy results, and these disagreements often reflect philosophical battles–old and new– about the nature of inductive-statistical inference and the roles of probability in statistical inference and modeling. Intermingled in the controversies about evidence are competing social, political, and economic values. If statistical consumers are unaware of assumptions behind rival evidence-policy reforms, they cannot scrutinize the consequences that affect them. What is at stake is a critical standpoint that we may increasingly be in danger of losing. Critically reflecting on proposed reforms and changing standards requires insights from statisticians, philosophers of science, psychologists, journal editors, economists and practitioners from across the natural and social sciences. This workshop will bring together these interdisciplinary insights–from speakers as well as attendees.

Speakers/Panellists:

Yoav Benjamini (Tel Aviv University), Alexander Bird (University of Cambridge), Mark Burgman (Imperial College London),  Daniele Fanelli (London School of Economics and Political Science), Roman Frigg (London School of Economics and Political Science), Stephan Guttinger (London School of Economics and Political Science), David Hand (Imperial College London), Margherita Harris  (London School of Economics and Political Science), Christian Hennig (University of Bologna), Daniël Lakens (Eindhoven University of Technology), Deborah Mayo (Virginia Tech), Richard Morey (Cardiff University), Stephen Senn (Edinburgh, Scotland), Uri Simonsohn (Esade Ramon Llull University), Aris Spanos(Virginia Tech),  Jon Williamson (University of Kent)

Sponsors/Affiliations:

The Foundation for the Study of Experimental Reasoning, Reliability, and the Objectivity and Rationality of Science (E.R.R.O.R.S.); Centre for Philosophy of Natural and Social Science (CPNSS), London School of Economics; Virginia Tech Department of Philosophy


Organizers
: D. Mayo, R. Frigg and M. Harris

Logistician (chief logistics and contact person): Jean Miller

Executive Planning Committee: Y. Benjamini, D. Hand, D. Lakens and S. Senn

To register for the workshop, please fill out the registration form here. 

Seminarios CITMAga EIO

El día 24 de noviembre se celebrarán dos Seminarios de Estadística e  Investigación Operativa organizados por CITMAga, uno por la mañana y otro por la tarde, se remite la información:

  • “Ajuste robusto de curvas ROC condicionales”, organizado por CITMAga, en formato presencial. Será impartido por Ana Bianco (Universidad de Buenos Aires)

Resumen:

Las curvas de características operativas del receptor (ROC) son una herramienta gráfica útil para analizar la precisión de una regla de asignación determinada. En este sentido, dado un clasificador binario, la curva ROC correspondiente brinda una perspectiva general de la capacidad del clasificador para discriminar entre dos grupos diferentes. La eficacia discriminatoria del marcador en estudio puede verse afectada por diversos factores. Cuando esta información se registra en covariables adecuadas, es sensato incluirlas para mejorar el análisis ROC.

En esta charla nos centraremos en las curvas ROC en presencia de covariables, revisaremos los métodos de estimación tradicionales, enfocándonos principalmente en el método directo. Mostraremos la inestabilidad de la curva ROC condicional cuando existen valores atípicos e introduciremos una alternativa robusta. Nuestro abordaje es semiparamétrico y combina estimadores robustos de modelos de regresión con estimadores de distribución empíricos ponderados basados en un procedimiento adaptativo que reduce la influencia de los valores atípicos.

Mediante un estudio Monte Carlo evaluaremos el desempeño de los estimadores propuestos y lo compararemos con el de los estimadores clásicos, tanto en muestras limpias como contaminadas. Ilustraremos nuestro enfoque a través del análisis de un conjunto de datos reales.

Fecha: 24 de noviembre de 2022

Hora: 13:00 h.

Lugar: Aula-Seminario 4 de la Facultad de Ciencias Económicas y Empresariales (Campus Universitario, Vigo)

  • Estimation of moments and density of first passage times by lower and upper risk thresholds

Nuno M. Brites

Department of Mathematics – Lisbon School of Economics and Management

  • Explainable artificial intelligence. How solid statistical science can help?

Jacek Leskow

Politechnika Krakowska im. Tadeusza Kosciuszki (Universidad Tecnológica de Cracovia)

Fecha: 24 de noviembre de 2022

Hora: 16:30–17:30 (Nuno M. Brites); 17:30–18:30 (Jacek Leskow)

Lugar: Aula 1, Facultad de Matemáticas (USC), online (MS Teams)

Duración: 2 h

Upcoming at LIDAM #178
SEMINARS
  OR Seminar Juan José Salazar (Universidad de La Laguna)
Mathematical Formulations for Consistent Travelling Salesman Problems
November 17 – 16:30 | CORE B.-135
  ISBA Statistics Seminars Mikolaj Kasprzak (MIT and University of Luxembourg)
How good is your Laplace approximation?
Finite-sample error bounds for a variety of useful divergences

November 18 – 11:30 | ISBA C.115
  ISBA Applied Statistics Workshops Robby De Pauw (Sciensano)
Projecting prevalence rates by Age-Period-Cohort models
for the Belgian population – opportunities and pitfalls

November 18 – 14:30 | ISBA C.115
  ISBA Applied Statistics Workshops Christian Ritter (ISBA)
Interesting Internet Data Sources
November 18 – 16:00 | ISBA C.115 + Teams
  IRES Lunch Seminar Gonzague Vannoorenberghe (IRES)
Globalization and the urban-rural divide in France
November 22 – 12:45 | Dupriez D.144
  CORE Brown Bag Seminar Bhaskar Dutta (University of Warwick)
Attack and Interception in Networks
November 23 – 12:50 | CORE C.035
  UCLouvain Economics Seminar Francesco Cinnirella (University of Bergamo)
Flow of Ideas: Economic Societies and the Rise of Useful Knowledge
November 24 – 12:45 | Doyen 22
THESES
  Younès El Hichou El Mayawill defend his thesis entitled
Essays on exchange traded funds and retail investors
Thesis advisor : Prof. Mikael Petitjean (LFIN)
November 29 – 15:00 | Mons (Building A – 3rd floor)
  Arno Baurinwill defend his thesis entitled
Heterogeneity in pension policy
Thesis advisors : Prof. Jean Hindriks (CORE) & Prof. Vincent Vandenberghe (IRES)
December 16 – 15:00 | More 51 and Teams
EVENTS
Doctoral course:
Causal Inference in Microeconometrics
with Applications to Program EvaluationTeachers: Prof. Bart Cockx, Prof. William Parienté
When? Each Monday between October 3 and December 12
Where? Brussels: Room 4109 (4th floor), Hermes buiding,
Stormstraat (Rue d’Assaut) 2, 1000 Brussels
The course is also recognized at UCLouvain as an advanced course
within the partner universities of the Belgian Graduate School of Economics. 
Note that participation is free conditional on being registered as a PhD student
at any Belgian university. Non-UGent students must nevertheless follow
a specific registration procedure explained here
CONFERENCE
Religion Culture and Economic Growth
in Historical PerspectiveDecember 19-20, 2022Louvain House | Louvain-la-Neuve
Belgian Financial Research Forum 2023
Call for PapersApril 20-21, 2023National Bank of BrusselsSubmission
Full working papers should be sent (in PDF) no later than
December 23, 2022 to bfrf2023@gmail.com
JOBS
  ISBA VACANCIES :
5 PhD and 3 Post-doc positions
in actuarial sciences and statisticsThe Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA) of the UCLouvain jointly with the KU Leuven’s Faculty of Economics and Business open vacancies for 3 phD and 2 post-doctoral students as part of the joint 2022 Excellence of research (EOS) call entitled «ASTeRISK: Actuaries and STatisticians endeavour to design innovative, inclusive insurance products in a changing RISK landscape».
More info
  ISBA VACANCIES :
3 PhD (ARC-IMAL)The Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA) of the Université catholique de Louvain (UCLouvain), Louvain-la-Neuve, Belgium, and The Namur Institute for Complex Systems (naXys) of the Université de Namur (UNamur), Namur, Belgium, have vacancies for

2 PhD positions in survival/semi-parametric regression
1 PhD position in functional data analysis

as part of their joint 2020 Action de recherche Concertée (ARC) call entitled «Imperfect Data: From Mathematical foundations to Applications in Life sciences» (IMAL).For more information regarding these positions, please find here the announcement.
VISITORS
  Eduardo Alarcón-Bustamante
Pontificia Universidad Católica de Chile

Invited by Prof. Sébastien Van Belleghem
From November 15 to November 25,  2022
  Juan José Salazar
Universidad de La Laguna

Invited by Prof. Daniele Catanzaro
From November 14 to November 18,  2022
  Kathin Schlafmann
Copenhagen Business School

Invited by Prof. Francesca Monti
November 17,  2022
STATISTICAL TRAININGS
Registration & Information
Les inscriptions sont ouvertes pour le Certificat d’université Junior Data Analyst organisé en version modulaire par le SMCS !Plus de 50% des journées de cours sont organisées le samediLe programme est réparti sur une année civile En savoir plus en vidéo   |   Infos et inscription
NEW – Introduction à Jamovi, manipulation de données et analyse descriptive
[2 demi jours]
débute le 22-11-2022 à 09:30
Write and publish your work in an R-package[6 half days]
starts on 25-11-2022 at 09:30
NEW – Introduction to mixed-effects models using R
[5 half days]
starts on 05-12-2022 at 09:30
Notions de base en probabilité et inférence statistique
[8 demi jours]
débute le 06-12-2022 à 09:00
Analyse de données
pré-cliniques et cliniques avec SPSS

[3 demi jours]
débute le 09-12-2022 à 13:30
Introduction à l’analyse de réseaux en R[4 demi jours]
débute le 15-12-2022 à 09:30
AT THE LIBRARY
Each week you can check the latest books available at the LIDAM Library.
——————–BARANY I., e.a.    
   Building Bridges II : Mathematics of László Lovász
More New Books
E-NEWS
Électricité : est-il possible de contenir la hausse des prix ?
Pour une fiscalité responsablePierre Pestieau
Scholars and Literati at the Philosophical Society of Oxford (1651–1690)

 If you want to share some news and information
with the LIDAM community, please contact us at
lidam.com@uclouvain.be
Actividades del IMI (Instituto de Matemática Interdisciplinar) Noviembre 2022


– Seminario de Análisis Matemático y Matemática Aplicada 

Control problems in relation to the SIR epidemiological model
Speaker: Alain Rapaport (MISTEA, INRAE Montpellier, France)
Date: 21st November, 2022, 13:00h
Place: Room 209 (Alberto Dou), Facultad de CC Matemáticas, UCM

– Ciclo de Conferencias del IMI-DSC: Decisión, Optimización y Ciencia de Datos

Miniciclo: Metaheurísticas en Optimización Entera

Conferenciantes: Gregorio Tirado (Universidad Complutense de Madrid), Julián Molina (Universidad de Málaga), José A. Moreno (Universidad de La Laguna)
Días: 21-24 de noviembre, 2022

21/11 17:00h: Búsqueda Local (Gregorio Tirado)

22/11  18:30h: Algoritmos Bioinspirados (Julián Molina)

24/11: 17:00h: Variable Neighbourhood Search (José A. Moreno)

Lugar: Online Sala de Cursos IMI DSC y el 21 de noviembre en Sala 215 (Seminario Sixto Ríos), Facultad de CC Matemáticas, UCM

– Workshop del IMI-Data Science Club: IMEIO-DecData (Decisión, Optimización y Ciencia de datos)

Fecha: 23 de noviembre de 2022, 10:00h a 19:00h
Lugar: Aula 113, Facultad de CC Matemáticas, UCM, y online (no ponentes)
https://eventos.ucm.es/go/imeio-decdata2022

– Ciclo de Conferencias del IMI-DSC: Decisión, Optimización y Ciencia de Datos

Counterfactual Decisions: A Mathematical Optimization Problem in Explainable Machine Learning

Conferenciante: Emilio Carrizosa (Universidad de Sevilla)

Fecha: 23 de noviembre, 2022, 13:00h

Lugar: Online Sala de Cursos IMI DSC y Aula 113, Facultad de CC Matemáticas, UCM

– Workshop+FuzzyMAD2022

Fecha: 2 de diciembre de 2022, 9:00h a 16:00h

Lugar: Aula Miguel de Guzmán, Facultad de CC. Matemáticas, UCM

https://eventos.ucm.es/90010/detail/fuzzymad-2022.html

SteMatEsElla

Estimados tod@s,

Desde hoy 16 de noviembre está abierta la inscripción de estudiantes en la cuarta edición del programa SteMatEsElla, una propuesta conjunta entre la Real Sociedad Matemática Española y la Asociación Española de Ejecutiv@s y Consejer@s EJE&CON, con la colaboración del Basque Center for Applied Mathematics (BCAM) y el Instituto de Ciencias Matemáticas (ICMAT).

El objetivo del programa es impulsar la carrera profesional, ya sea científica o empresarial, de mujeres estudiantes de grado, máster  y doctorado en áreas STEM (ciencia, tecnología, ingeniería y matemáticas).

La dinámica consiste en poner en contacto a las estudiantes con mujeres profesionales del ámbito de la ciencia o la empresa, de modo que estas
últimas compartan su experiencia con las más jóvenes y ejerzan una labor de tutorización y consejo a lo largo de varias sesiones.

El programa de mentorazgo está gestionado por Ackerman Internacional.

En el enlace:

https://ejecon.org/stematesella/

podéis encontrar la información y el enlace de inscripción en el evento.

Un saludo cordial,

Eva A. Gallardo Gutiérrez
Presidenta de la Real Sociedad Matemática Española

Actividades del IMUS del 23 al 29 de noviembre de 2022

ACTIVIDADES:

-) SEMINARIO DOCTORADO Recent approaches on Support Vector Machines
Fecha y hora: El 23 de noviembre de 2022. A las 12:00h
Lugar: Seminario I (IMUS)
Autor/es: Luisa Isabel Martínez Merino
-) CONFERENCIAS Broadcasting revenue sharing after cancelling sports competitions
Fecha y hora: El 23 de noviembre de 2022. A las 10:30h
Lugar: ON LINE
Autor/es: Gustavo Bergantiños Cid


ENTRADAS EN EL BLOG:

-) «Reparto de fichas«
Publicado: «16 de noviembre de 2022»
-) «Tiros al aire«
Publicado: «18 de noviembre de 2022»

¡Que aproveche!

Más información: https://www.imus.us.es/es 

Muchas gracias y saludos

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