404 Not Found | International Society for Bayesian Analysis https://bayesian.org The International Society for Bayesian Analysis (ISBA) was founded in 1992 to promote the development and application of Bayesian analysis. Tue, 19 Mar 2024 21:20:14 +0000 en-US hourly 1 https://wordpress.org/?v=6.4.3 https://bayesian.org/wp-content/uploads/2016/08/cropped-ISBAlogo-1-32x32.png 404 Not Found | International Society for Bayesian Analysis https://bayesian.org 32 32 ISBA-BNP Networking Workshop July 30 – August 4, Singapore https://bayesian.org/isba-bnp-networking-workshop-july-30-august-4-singapore/ https://bayesian.org/isba-bnp-networking-workshop-july-30-august-4-singapore/#respond Tue, 19 Mar 2024 21:20:14 +0000 https://bayesian.org/?p=9502 We are pleased to announce the 3rd Bayesian Nonparametrics Networking workshop, scheduled to take place from July 30 to August 2 at The Institute for Mathematical Sciences (IMS) in Singapore. The format will largely follow the previous editions held in Nicosia (Cyprus) in April 2022 and Melbourne (Australia) in December 2023.

This edition will offer three mini-courses delivered by Peter Orbanz (University College London), Li Ma (Duke University), and Kerrie Mengersen (Queensland University of Technology).

The workshop will also include invited talks and contributed talks, covering a range of different topics presented by a mix of both junior and established researchers. Those who wish to be considered for a contributed talk should submit their abstract by April 30, 2024. This is also the deadline for travel grant applications for junior researchers.

For more information, please visit the workshop event page at https://bnp-networking2024.github.io/ or contact the local organizing committee via bnp-networking2024@bayesian.org.

Best regards,
Raffaele Argiento and Maria de Iorio

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Postdoc at Pompeu Fabra University (Barcelona) https://bayesian.org/postdoc-at-pompeu-fabra-university-barcelona-2/ https://bayesian.org/postdoc-at-pompeu-fabra-university-barcelona-2/#respond Mon, 26 Feb 2024 16:16:39 +0000 https://bayesian.org/?p=9482 We are pleased to offer a postdoc position in Statistics at the Data Science Center of the Barcelona School of Economics, starting around Sep 2024 (there is some flexibility in the start date). The research themes are fairly flexible, and include developing joint models for high-dimensional data integration, latent variable models, computational methods, asymptotic
analysis, and applications to relevant problems in the social sciences and economics.

The gross yearly salary is 42,000 EUR. The primary location is at the BSE Data Science Center in Barcelona. The minimum term is 22 months, with the possibility of a small extension for interested candidates.

The primary supervisors are David Rossell (https://sites.google.com/site/rosselldavid) and Stephen Hansen (https://sekhansen.github.io), although collaborations with other group
members at the UPF Statistics & Probability group (https://sites.google.com/view/stats-upf) and at UCL are possible.

The application deadline is April 30th. Interested candidates should send a CV, a brief (1-2 pages) statement of research interests, and ask 3 referees to email a recommendation letter to david.rossell@upf.edu. Applicants are expected to have a PhD in Statistics or related discipline, and a research track in Bayesian analysis.

Background info. The BSE Data Science Center (https://datascience.bse.eu) integrates faculty and postdocs from various fields, and in particular those from the Statistics and Probability group (https://sites.google.com/view/stats-upf) at Universitat Pompeu Fabra in Barcelona, consistently ranked among the top European economics schools. The group has a strong expertise in research areas such as theoretical machine learning, graphical and network models, Bayesian inference, Malliavin calculus, high-dimensional inference and Econometrics,
among others. Said research has been funded by research agencies in Spain, the UK and USA, as well as companies such as Google, Santander bank, BBVA and Huawei. The BSE is a dynamic research environment, and also hosts a master’s program in Data Science (https://bse.eu/study/masters-programs/data-science-methodology) and other educational
activities. The BSE has won 3 consecutive Severo Ochoa awards for research excellence, and provides additional opportunities for funding and research-related activities.

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Call for APPLICATIONS: Bocconi Summer School in Stats & Prob, Lake Como, 8-18 July 2024 https://bayesian.org/call-for-applications-bocconi-summer-school-in-stats-prob-lake-como-8-18-july-2024/ https://bayesian.org/call-for-applications-bocconi-summer-school-in-stats-prob-lake-como-8-18-july-2024/#respond Mon, 26 Feb 2024 16:15:24 +0000 https://bayesian.org/?p=9480 CALL FOR APPLICATIONS: The 2024 edition of the Bocconi Summer School in Advanced Statistics and Probability, organized by Bocconi University, the University of Oxford and Imperial College London,
will take place on JULY 8-18, 2024, at VILLA DEL GRUMELLO, LAKE of COMO, Italy.

The topic of the 2024 edition is “Statistical Science for Understanding Climate and the Earth System”,
and the main instructors are Claudia Tebaldi (Earth Scientist Joint Global Change Research Institute, Pacific Northwest National Laboratory, USA) and Douglas Nychka (Dept of Applied Mathematics and Statistics, Colorado Schoof of Mines, Golden, Colorado, USA).

The 2-weeks summer school is open to all interested researchers, but is especially designed for PhD students. ***The deadline for applications is April 8, 2024***

For more information: https://bss2024.lakecomoschool.org/
or contact BSS.statistics@unibocconi.it, or sonia.petrone@unibocconi.it

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ASMBI Journal 40:1 Jan/Feb 2024 https://bayesian.org/asmbi-journal-401-jan-feb-2024/ https://bayesian.org/asmbi-journal-401-jan-feb-2024/#respond Fri, 23 Feb 2024 17:40:36 +0000 https://bayesian.org/?p=9477 Dear Colleagues,
Please check out ASMB 40:1, the first 2024 issue of Applied Stochastic Models in Business and Industry (https://onlinelibrary.wiley.com/journal/15264025), the official journal of the International Society for Business and Industrial Statistics (https://isbis-isi.org/isbis/). This issue of ASMBI features a Discussion Paper “Specifying prior distributions in reliability applications” by Tian, Lewis-Beck, Niemi, and Meeker. This interesting paper is discussed by 19 experts, to which the authors provide a rejoinder. The issue also includes four interesting research articles on different topics such as bootstrapping, optimal stopping, optimal maintenance, and fraud modeling.
On behalf of the editorial board, I sincerely thank all the authors and reviewers for making this exciting issue possible. I also thank Fabrizio Ruggeri for his long and outstanding leadership of ASMBI – please look at the messages from Fabrizio and myself in this issue.

Best wishes,
Nalini Ravishanker
Professor, University of Connecticut
Editor-in-Chief, ASMBI
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Applied Stochastic Models in Business and Industry
Vol. 40 No. 1, Jan/Feb 2024

Link for TOC: https://onlinelibrary.wiley.com/toc/15264025/2024/40/1
We sincerely hope that you enjoy this issue of ASMBI.

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Two postdoctoral Researchers in Bayesian ecological statistics https://bayesian.org/two-postdoctoral-researchers-in-bayesian-ecological-statistics/ https://bayesian.org/two-postdoctoral-researchers-in-bayesian-ecological-statistics/#respond Tue, 20 Feb 2024 17:41:30 +0000 https://bayesian.org/?p=9469 The Research Group of Associate Professor Jarno Vanhatalo seeks three post-doctoral researchers for an ERC funded Consolidator Grant project “Predictive Understanding of the effects of Global Change on Ecological Communities and Ecosystem Functions – BEFPREDICT”. Two of these positions are in statistics

A post-doctoral researcher for a three-year position in ecological statistics

We are seeking a postdoctoral researcher to develop tools for analyzing and mapping large scale biodiversity and ecosystem function data with multivariate statistical models and methods. Our approach is based on hierarchical Bayesian models that allow us to integrate heterogeneous, but complementary, ecological and environmental data. The work focuses specifically on extending and tailoring the so-called joint species distribution modeling (JSDM) framework to match our research questions. JSDMs are multivariate models and among the most important statistical tools in community ecology today. The candidate is also expected to contribute to developing novel predictive model comparison and assessment methods and in analyses of large ecological data sets in collaboration with other researchers of this project (see the other postdoc positions in this call). Opportunities for professional development, e.g. in project management, leadership, mentoring, teaching and grant writing, are available and encouraged.

A post-doctoral researcher for a three-year position in statistics

We are seeking a postdoctoral researcher to develop tools for comparing and validating large scale, multivariate, spatiotemporal statistical models. Our approach is based on Bayesian predictive and decision theoretic approach, which allows us to conceptualize model comparison and assessment to meet the specific requirements of our predictive and analytical aims. The work focuses on developing proper scoring rules and other utility functions, and cross-validation methods tailored for the predictive scenarios of the project. We are specifically interested in model comparison and assessment methods that match complex spatial and temporal multivariate predictive scenarios. The candidate is also expected to contribute to developing novel hierarchical Bayesian models and in analyses of large ecological data sets in collaboration with other researchers of this project (see the other postdoc positions in this call). Opportunities for professional development, e.g. in project management, leadership, mentoring, teaching and grant writing, are available and encouraged.

More information and application instructions:

https://jobs.helsinki.fi/job/Helsinki-Postdoctoral-Researchers%2C-Global-Change-on-Ecological-Communities-and-Ecosystem-Functions/788587002/

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7th Latin-American Meeting on Bayesian Statistics (COBAL) & 17th Brazilian Meeting on Bayesian Statistics (EBEB)***Calls for Proposed Thematic Sessions, Oral and Poster presentations are now open!*** https://bayesian.org/7th-latin-american-meeting-on-bayesian-statistics-cobal-17th-brazilian-meeting-on-bayesian-statistics-ebebcalls-for-proposed-thematic-sessions-oral-and-poster-presentations-are-now-open/ https://bayesian.org/7th-latin-american-meeting-on-bayesian-statistics-cobal-17th-brazilian-meeting-on-bayesian-statistics-ebebcalls-for-proposed-thematic-sessions-oral-and-poster-presentations-are-now-open/#respond Mon, 19 Feb 2024 17:10:36 +0000 https://bayesian.org/?p=9465 7th Latin-American Meeting on Bayesian Statistics (COBAL) 17th Brazilian Meeting on Bayesian Statistics (EBEB).
December 2nd-6th, 2024

The 7th Latin-American Meeting on Bayesian Statistics (COBAL) will be held at Federal University of Minas Gerais (UFMG), Belo Horizonte, Brazil. This will be a joint event with the 17th Brazilian Meeting on Bayesian Statistics (EBEB).

This meeting is organized by the Brazilian Chapter of ISBA and is supported by ISBA, ABE (Associação Brasileira de Estatistica), AME (Asociación Mexicana de Estadística) and SOCHE (Sociedad Chilena de Estadística).

***Calls for Proposed Thematic Sessions, Oral and Poster presentations are now open!***

We invite statisticians, data scientists, researchers, and professionals to share your expertise and contribute to define the future of statistical sciences.

Registration for Proposed Thematic Sessions is open until April 30th, 2024. The proposals must be submitted through the link https://forms.gle/U8xfifMnv6JJSFLx9 and must contain the following information:

1) Name and email of the chair of the session
2) Title and description of the session
3) Name and email of the speakers (3 or 4 speakers)
4) Title and summary of the talks to be presented

Registration for contributed ORAL and POSTER presentations are open May 15th, 2024 through the website https://www.even3.com.br/cobal-ebeb-2024/

For further information, please visit: .

We hope to see you here in Belo Horizonte.

Rosangela, Marcos and Fabio
Board of ISBRA-the Brazilian ISBA Chapter

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Conference in Honor of Prof. Raymond Carroll https://bayesian.org/conference-in-honor-of-prof-raymond-carroll/ https://bayesian.org/conference-in-honor-of-prof-raymond-carroll/#respond Thu, 15 Feb 2024 16:22:21 +0000 https://bayesian.org/?p=9457 Dear Members,

The Department of Statistics at Texas A&M is organizing a conference on “Statistical Methods for High-dimensional Complex Data”, in honor of Prof. Raymond Carroll. Please check the conference website for more details.

Conference on Statistical Methods for High Dimensional Complex Data

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Postdoc https://bayesian.org/postdoc/ https://bayesian.org/postdoc/#respond Tue, 13 Feb 2024 16:27:26 +0000 https://bayesian.org/?p=9452 Dear colleagues,

I’m looking to recruit a Postdoc to work with me (Bobby Gramacy), in the Dept of Statistics at Virginia Tech, on building surrogate models for ecological and environmental forecasting. If you’re interested, feel free to reach out to me directly. Here are some other useful links.

Official advert and to apply: https://careers.pageuppeople.com/968/cw/en-us/job/528531/postdoctoral-associate
More about me: https://bobby.gramacy.com
More about Ecosystem Forecasting at VT: https://www.ecoforecastprojectvt.org
More about Stats at VT: https://www.stat.vt.edu

Cheers,
Bobby

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14th Rimini Centre for Economic Analysis Bayesian Workshop Call for Papers https://bayesian.org/14th-rimini-centre-for-economic-analysis-bayesian-workshop-call-for-papers/ https://bayesian.org/14th-rimini-centre-for-economic-analysis-bayesian-workshop-call-for-papers/#respond Wed, 31 Jan 2024 16:33:25 +0000 https://bayesian.org/?p=9436 The Rimini Centre for Economic Analysis (RCEA) invites papers to be considered for its 14th RCEA Bayesian Workshop. The keynote speaker for the workshop will be Minchul Shin (Federal Reserve Bank of Philadelphia). The workshop will take place in conjunction with the 2024 RCEA International Conference in Economic, Econometric, and Finance being held simultaneously at Brunel University London, 20-22 May 2024.

SUBMISSIONS
The Centre welcomes submissions for the contributed sessions. While the workshop is intended for theoretical work or applied work with methodological contribution in Bayesian Econometrics, any Bayesian paper with an econometric focus will be considered. Quality papers in all areas in relation to the overarching theme of the workshop are welcome.
Authors should submit an extended abstract of up to 500 words or a complete paper. Please include JEL classification codes and keywords with the submission. In case of more than one author the name of the presenter should be underlined.
To submit a paper or extended abstract please use Conference Maker at:
https://editorialexpress.com/conference/ICEEF2024/
Please select Bayesian Econometrics as the submission field where Mark Jensen is Committee Member.
Proposals for sessions, consisting of three or four papers, are particularly welcome.

Submission deadline: 10 March 2024
Notification of acceptance: Authors will be notified by the workshop scientific committee’s decision by 20 March 2024.
There are no submission fees.

SUMMARY OF IMPORTANT DATES*
Submission deadline: 10 March 2024
Notification of acceptance: 20 March 2024
Early registration: 20 March – 31st March 2024
Late registration: 1st April – 15th April 2024

Registration will start on 20th of March 2024 on the conference website: https://www.rcea.world/events/forthcoming-events/the-2024-rcea-international-conference

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full-time/permanent Lecturer/Senior Lecturer (equiv Assistant/Associate Professor) in Statistics at Imperial College London https://bayesian.org/full-time-permanent-lecturer-senior-lecturer-equiv-assistant-associate-professor-in-statistics-at-imperial-college-london/ https://bayesian.org/full-time-permanent-lecturer-senior-lecturer-equiv-assistant-associate-professor-in-statistics-at-imperial-college-london/#respond Tue, 30 Jan 2024 16:23:25 +0000 https://bayesian.org/?p=9432 I am excited to announce that Imperial College London invites applications for one full-time permanent faculty member position at the Lecturer (equivalent to Assistant Professor) level, based both in the Statistics Section of the Math Department.

Imperial College London is a world-leading university whose reputation for excellence in research and teaching attracts students and staff of the highest international quality. Our three Faculties, Engineering, Natural Sciences and Medicine, together with the Imperial College Business School, explore the interface between science, medicine, engineering, and management.

We offer an attractive salary package (including a pension scheme with significant employer contributions) as well as generous terms and conditions of service. The post is a permanent position (comparable to tenured faculty positions). Other benefits to our staff are subsidised childcare on campus, flexible and family-friendly working policies, opportunities for further professional development, periodic sabbaticals, and free healthcare through the National Health Service. We can provide support and advice on the dual-career needs of candidates and their partners.

The Statistics Section acts as a focal point for coordinating data science research at Imperial College, supporting data-driven research in various application domains, including astrophysics, particle physics, biology, meteorology, medicine, finance and healthcare social sciences. The Section provides in particular a strong and interdisciplinary research network covering all aspects of big data analysis and machine learning, through links to Imperial’s Data Science Institute, the Mathematics in Medicine initiative; Imperial’s Machine Learning Initiative, Imperial’s Artificial Intelligence Network, Imperial X to tackle the world’s greatest challenges in collaboration with large cooperations and start-ups. The Statistics section comprises 34 members of staff, 60 PhD students, and 8 postdoctoral researchers or research fellows, providing a vibrant research environment across all aspects of statistics, especially for young scientists to realize their full potential.

More details and a link to the application forms:
https://www.imperial.ac.uk/jobs/description/NAT01621/lecturersenior-lecturer-statistics/

Informal enquiries are very welcome to Prof Almut Veraart (a.veraart@imperial.ac.uk)
Closing date: Feb 12, 2024.

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