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/
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.
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
SEMINARS |
![]() Mathematical Formulations for Consistent Travelling Salesman Problems November 17 – 16:30 | CORE B.-135 |
![]() How good is your Laplace approximation? Finite-sample error bounds for a variety of useful divergences November 18 – 11:30 | ISBA C.115 |
![]() Projecting prevalence rates by Age-Period-Cohort models for the Belgian population – opportunities and pitfalls November 18 – 14:30 | ISBA C.115 |
![]() Interesting Internet Data Sources November 18 – 16:00 | ISBA C.115 + Teams |
![]() Globalization and the urban-rural divide in France November 22 – 12:45 | Dupriez D.144 |
![]() Attack and Interception in Networks November 23 – 12:50 | CORE C.035 |
![]() Flow of Ideas: Economic Societies and the Rise of Useful Knowledge November 24 – 12:45 | Doyen 22 |
![]() Essays on exchange traded funds and retail investors Thesis advisor : Prof. Mikael Petitjean (LFIN) November 29 – 15:00 | Mons (Building A – 3rd floor) |
![]() Heterogeneity in pension policy Thesis advisors : Prof. Jean Hindriks (CORE) & Prof. Vincent Vandenberghe (IRES) December 16 – 15:00 | More 51 and Teams |
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 |
![]() 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 |
![]() 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 |
![]() 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. |
![]() ![]() Pontificia Universidad Católica de Chile Invited by Prof. Sébastien Van Belleghem From November 15 to November 25, 2022 |
![]() ![]() Universidad de La Laguna Invited by Prof. Daniele Catanzaro From November 14 to November 18, 2022 |
![]() ![]() Copenhagen Business School Invited by Prof. Francesca Monti November 17, 2022 |
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NEW – Introduction à Jamovi, manipulation de données et analyse descriptive [2 demi jours] débute le 22-11-2022 à 09:30Write 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 09:30Notions 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 13:30Introduction à l’analyse de réseaux en R[4 demi jours] débute le 15-12-2022 à 09:30 |
Each week you can check the latest books available at the LIDAM Library. ——————–BARANY I., e.a. Building Bridges II : Mathematics of László Lovász |
Pour une fiscalité responsablePierre Pestieau |
![]() If you want to share some news and information with the LIDAM community, please contact us at lidam.com@uclouvain.be |
– 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
—
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:
-) 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