July 19 - 24, 2020. Bilbao, Basque Country, Spain. The 35th International Workshop on Statistical Modelling (IWSM) will be held in Bilbao 19-24 July 2020. IWSM is one of the major activities of the Statistical Modelling Society, founded with the purpose of promoting and encouraging statistical modelling in its widest sense. The workshop aims to involve both academic and professional statisticians and data analysts with a particular focus on real data problems which involve an element of novel statistical modelling, or novel model application. Papers focusing on applications with important substantive implications as well as methodological issues are welcome. Submissions by students and young researchers are particularly encouraged. All the accepted papers will be included in the Proceedings of the Workshop. IMPORTANT DATES ================== Registration and abstract submission begins: December 1, 2020 Deadline call for oral presentation abstracts: February 15, 2020 Deadline call for poster presentation abstracts: April 1, 2020 Early registration deadline: April 30, 2020 Short course: July 19, 2020 Conference: July 20-24, 2020 KEYNOTE SPEAKERS =================== Maria Durban (University Carlos III of Madrid, Spain). Montserrat Fuentes (University of Iowa, USA). Yudi Pawitan (Karolinska Institutet, Sweden). Virginie Rondeau (INSERM, Bordeaux, France). Stijn Vansteelandt (Ghent University, Belgium). SHORT COURSE =============== "Bayesian spatio-temporal modeling"  by Virgilio Gómez Rubio (Universidad de Castilla-La Mancha, Spain). FURTHER DETAILS AND CONTACT ============================= https://wp.bcamath.org/iwsm2020/ iwsm2020@bcamath.org

  Tras la buena acogida de Stat Wars: el despertar de los datos, llega al territorio español su continuación, Stat Wars: el Imperio de los Datos. Esta nueva edición cuenta con la colaboración de la Fundación Española para la Ciencia y la Tecnología - Ministerio de Ciencia, Innovación y Universidades y la Red Nacional de Bioestadística (BIOSTATNET).   STAT WARS es una idea original de la Universidad Carlos III de Madrid (UC3M), que BIOSTATNET lanza al territorio nacional bajo la coordinación de la Universidad de Santiago de Compostela (USC). En esta nueva edición también participan las siguientes universidades: la Universidad de Almería, la Universidad Autónoma de Barcelona, la Universidad Carlos III de Madrid, la Universidad de Castilla La Mancha, la Universidad de Navarra, la Universidad del País Vasco, la Universidad Politécnica de Catalunya, la Universidad de Salamanca y la Universidad de Valencia.   Este proyecto de divulgación científica trata de seguir acercando la estadística a los estudiantes de ESO y Bachillerato, con el fin de mostrarles todas sus utilidades y sus aplicaciones en otras disciplinas. Otra de sus finalidades es presentarles una profesión con mucho futuro y bajas tasas de paro.   Su formato original, innovador y creativo hará que los jóvenes aprendan jugando y se diviertan mucho. Los asistentes podrán conocer más sobre la estadística a través de los ¿Sabías qué…?, las píldoras informativas o los vídeos; y desarrollarán su pensamiento crítico a través de los concursos: Lo Sabe o No Lo Sabe y Sí o No.   Las naves de Stat Wars aterrizarán en distintos lugares. Si quieres saber cuáles son, no pierdas de vista estas redes sociales: Facebook, Twitter y Instagram.     #StatWars #elimperiodelosdatos

The Institute of Mathematical Statistics and Actuarial Sciences http://www.stat.unibe.ch and the Oeschger Centre for Climate Change Research http://www.oeschger.unibe.ch/, University of Bern, Switzerland invite applications for the following position opening February 1, 2020. Postdoc “Statistics of Compound Events” University of Bern, Switzerland (80-100%, 2 years plus 1 year extension) Compound weather and climate events refer to multiple climate events that potentially cause large societal impacts. The analysis and prediction of compound events pose substantial challenges from a statistical perspective. The prospective PostDoc will work at the interface of the development of statistical methods and their application to current topics of high interest in climate and weather applications. Potential topics include the evaluation of predictions for (joint) extreme events, the evaluation of multivariate or spatial predictions, and the calibration (or ``bias-correction'') of multivariate predictions. The PostDoc will be a part of the group of Prof. Dr. Johanna F. Ziegel (Institute of Mathematical Statistics and Actuarial Science). Close collaboration is planned with the group of Dr. Jakob Zscheischler (Climate and Environmental Physics KUP), and with the group of Prof. Dr. Olivia Romppainen-Martius (Institute of Geography). The position is ideally suited for a young researcher in statistics to become an expert in statistics for climate science and weather applications. Profile of the candidate The successful candidate holds a PhD in Statistics and has a strong interest in climate and weather applications, or he/she holds a PhD in Climate or Atmospheric Science, Meteorology or similar with a very good background in statistics. She/he has excellent programming and data handling skills, and a keen interest in interdisciplinary research. The candidate is proficient in English, both written and spoken. Details Starting date: February 1, 2020 or upon agreement. Employment conditions and remuneration in accordance with the standards of the University of Bern, Switzerland. The salary ranges between 88,00 and 100,000 CHF p.a. (gross salary; ca 90-100 k US$). For further information please contact Prof. Dr. Johanna F. Ziegel (johanna.ziegel@stat.unibe.ch). Applications All applications received before January 1, 2020 will be reviewed, and further applications will be considered until the position is filled. Please send your application documents including a CV, a motivation letter, and contact information for 3 references by e-mail to office@stat.unibe.ch . Homepage: http://www.oeschger.unibe.ch/ and http://www.stat.unibe.ch