This year the workshop aims to bring together young researchers (PhD students, postdocs and young faculty members) working (or interested) in the field of uncertainty quantification (both theoretical and applied aspects). Tutorials will be given by world experts David Blei (Columbia), Richard Nickl (Cambridge), Aad van der Vaart (Leiden) and Cun-Hui Zhang (Rutgers). Young researchers will also be given the opportunity to present their work in the format of contributed talks or posters.
This will be the 3rd STAR Workshop on Random Graphs. The first took place in 2012 and the second in 2015. We are very pleased to announce the following prominent researchers have agreed to deliver plenary talks:
The workshop will focus on mathematical statistical physics of discrete systems, and in particular its applications to random geometries, as well as a few other related research directions. Real-life motivations for such studies range from attempts to quantize gravity to problems in condensed matter physics to mathematical modelling of cooperative phenomena in macroscopic communities.
The workshop will put together recent advances and trends in areas related to stochastic modeling, statistical inference and their applications. Invited session are devoted to active research topics such as Highdimensional Statistics, Copulas, Change Detection, Survival Analysis, Statistics for Stochastic Processes, Functional Data, Spatial Statistics, Big Data, Image Processing. Plenaries will be given by A. Gut (Uppsala), H. Dette (Bochum) and J. Jureckova (Prague). Selected papers will be published in Appl. Stoch. Mod. Bus. Ind.
Effective program evaluation is an essential component of STEM education and workforce development. The conference and associated events will enhance participants' abilities to develop an evaluation plan that meets the needs of an INCLUDES Alliance Project. Participants will include individuals involved in current INCLUDES projects, those considering collaborating in such projects and STEM educators considering inclusion of formal evaluation in their projects.
CIRM will welcome Prof Konstantin Khanin (Toronto) as Jean-Morlet Chair from January to June 2017. The semester will feature various events. The first is a graduate school on Random Structures in Statistical Mathematical Physics with 6 mini-courses: Last Passage Percolation (E. Cator), Directed Polymers in Random Environment (F. Comets), Random Hamilton-Jacobi Equation (K. Khanin), Airy Processes (D. Remenik), Solvable Models for Directed Polymers (T. Seppäläinen) and Phase Separation and Related Problems (S. Shlosman). Apply by Feb 15,2017.
AP@R is an international workshop on Applied Probability, bringing together leading researchers from around the world to share recent discoveries and begin new collaborations. It also provides an opportunity to celebrate the 60th birthday of one of Australia's prominent Applied Probabilists, Professor Phil Pollett.
The workshop aims to showcase the full range of topics in Applied Probability, and includes particular themes of "Networks in Queueing and Telecommunications", "Stochastic Models in Biology" and "Limits and Approximation".
CIRM will welcome Prof Konstantin Khanin (Toronto) as Jean-Morlet Chair from January to June 2017. The semester will feature various events. The second event is a conference on Qualitative Methods in Kardar-Parisi-Zhang Universality,a very active area in statistical mechanics and mathematical physics. Tentative speakers include A.Borodin, I.Corwin, M.Hairer, N.O'Connell, E.Pardoux, J.Quastel, T.Seppäläinen and H.Spohn. Scientific and organizing committees include T. Alberts, Y. Bakhtin, E.Cator, D.Dolgopyat etc. Apply by Feb 15, 2017.
As part of the InSPiRe (Innovative methodology in small populations research) project, this conference will bring together international experts in innovative clinical trial design and analysis to present recent advances in the methodology for clinical trials in small populations and rare diseases.
To keep up in today's competitive marketplace, enterprise business entities must be able to constantly transform and improve their business. In order to improve, enterprise business entities have started to integrate sophisticated business analytics and big data, internal and external, in their internal operational processes for sales, marketing, finance, management, procurement, etc. Statistical methodology can play a powerful role in developing such an effective business transformation. In this conference, we explore how businesses increase efficiency, support decision-making under uncertainty, improve business operations and ultimately transform their business by using statistics.
This conference will bring together probabilists studying the evolution of complex random systems such as spin glasses, random matrices, growth process, and stochastic PDEs. It will also include a celebration of the 60th birthday of Gerard Ben Arous.
The 10th International Conference on Multiple Comparison Procedures (MCP) will be held during June 20 - 23, 2017 on the campus of the University of California, Riverside. Now in its twentieth year, the biennial MCP conference promotes research and application of MCP among industry practitioners, research scientists and statisticians. This unique conference continues the dialogue among academia, industry and regulatory agencies to explore innovative solutions in clinical trials, drug discoveries and bioinformatics/genomics.
This program includes a graduate summer school (with courses given by Percy Deift, Ioana Dumitriu, Laszlo Erdos, Yan Fyodorov, Jeremy Quastel, Mark Rudelson, Sylvia Serfaty, Dimitri Shlyakhtenko, Terance Tao, and Balint Virag), a research program (with roughly 60 participants including Clay Senior Scholars Craig Tracy and H.T. Yau), an undergraduate summer school (with courses given by Antonio Auffinger, and Mihai Stoiciu), an undergraduate faculty program (run by Victor Moll), a teacher leadership program, and a workshop on increasing minority participation in undergraduate mathematics.
The International Symposium on Forecasting (ISF) is the premier forecasting conference, attracting the world’s leading forecasting researchers, practitioners, and students. Through a combination of keynote speaker presentations, academic sessions, workshops, and social programs, the ISF provides many excellent opportunities for networking, learning, and fun.
The 10th International Conference on Extreme Value Analysis will take place at Delft University
of Technology, The Netherlands. It will schedule presentations on all Probabilistic and Statistical
aspects of Extreme Value Analysis and applications in Climate and Atmospheric Science,Industrial Risks, Geosciences, Hydrology, Finance, Economics and Insurance, Biosciences,
Physics, and Telecommunications and Stochastic Networks. All students, researchers,
practitioners, and scientists with interests in statistics of extremes are welcome.
Local organizing committee: Zijia Peng, Guangxi University for Nationalities, China email@example.com Scientific program committee: Ming Yuan, University of Wisconsin (Madison), USA firstname.lastname@example.org
The 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, involving both academic and professional statisticians and data analysts.
The spirit of the workshop has always been
* to focus on problems motivated by real life data and on solutions that make novel contributions to the subject.
* to encourage interaction as there are no parallel sessions.
* to welcome both junior and senior statisticians.
The aim of the International Conference on Robust Statistics (ICORS) is to bring together researchers and practitioners interested in robust statistics, data analysis and related areas. This includes theoretical and applied statisticians as well as data analysts from other fields, and leading experts as well as junior researchers and graduate students.
The 2017 conference will provide a scientific forum for international exchange of theory, methods and applications of biostatistics in medical research and practice among clinicians, statisticians and members of other disciplines, such as epidemiologists, clinical chemist and clinical pharmacologists, working or interested in the field of clinical.
A three-day workshop about accurate post-selection inference, with emphasis on foundations, theory and methods, and important applications. Topics include: selective and simultaneous inference, high-dimensional inference, and Bayesian post-selection inference. Also considered are tools from higher-order asymptotics, including analytic and simulation-based refinements, to improve accuracy and power for post-selection inference procedures. More than 20 invited talks, and two poster sessions. Registration opens in early 2017.
Seminars on Stability Problems for Stochastic Models have a long tradition. They were founded by Vladimir Zolotarev in the 1970’s. The seminars were attended by leading probabilists from all over the world. The Seminars traditionally aim at bringing together people from Eastern and Western parts of Europe to share their expertise, new results, exchange the ideas and discuss open problems.