The workshop will focus on recent developments in Dimension Reduction and High Dimensional Inference. A major purpose of the workshop is to discuss many recent significant developments and to identify important problems and new research directions. All sessions are plenary. Please visit http://www.stat.ufl.edu/symposium/2014/index.html for complete workshop details. For additional information please contact Zhihua (Sophia) Su: firstname.lastname@example.org.
Data grew to "big data". Should our models grow? Which old lessons apply or must be revised?
We will discuss modelling strategies for complex problems, with a focus on biomedicine, Bayesian methods and high-dimensional inference.
Where: University of Warwick
Registration: free, but must be made in advance
Speakers: Guido Consonni, Andrew Gelman, Mark Girolami, Luca Larocca, Jun Liu, Jianhua Hu, Valen Johnson, Peter Mueller, Donatello Telesca, Rich Savage
11th German Probability and Statistics Days
March 4th - 7th, 2014
In the tradition of the previous conferences, it provides an international forum for the presentation and discussion of new results in all areas of probability and statistics.
The submission of abstracts for contributed talks is starting June 1st, 2013, and ends November 30th, 2013.
Early bird registration expires January 15th, 2014. For further information please have a look at http://www.gpsd-ulm2014.de/.
Commemorating the end of the successful DFG-funded research training group “Modelling, Analysis and Simulation in Economathematics” a conference is organised at Ulm University from Thursday, March 6th to Saturday March 8th, 2014.
A plenary talk by
Christoph Schwab (ETH Zurich)
is organised jointly with the 11th German Probability and Statistics Days.
For further information please have a look at http://graduiertenkolleg.gpsd-ulm2014.de/.
This workshop will explore problems and opportunities raised by small (tens to hundreds of individuals) social networks as they develop over time, with special focus on three issues: 1) how temporal dynamics affect network function and emergent properties, 2) the response of the network to perturbations such as births, deaths, immigration and emigration from the social group, 3) the tension between a focus on network structure (e.g., importance of roles and network centrality) and process (e.g., flow of information, disease transmission).
The conference will feature research areas inspired by the substantial contributions of Prof. H.N. Nagaraja (Division of Biostatistics, The Ohio State University). Topics include order statistics, stochastic modeling, distribution theory, characterizations, asymptotics, and statistical methods in the health sciences. The objective of this conference is to bring together researchers to discuss recent developments and explore future directions on these topics.
Infectious disease models have a long history in human epidemiology, but only more recently have been applied to domestic or wildlife host species. These models offer a way to test response plans, evaluate detection methods, identify effective methods to mitigate disease, and answer policy questions. Given that many diseases of current and future concern have both wild and domestic animal components, a need exists to understand the strengths and weaknesses of current modeling frameworks to capture the dynamics both within and between wild and domestic hosts. Enhanced collaboration across institutions and among biologists, modelers, and veterinarians is needed to reduce the risks posed by animal-related diseases. Through this workshop, we seek to develop a better understanding of the availability and utility of different kinds of modeling approaches as well as the data to answer complex questions.
Plant viruses are among the greatest limiting factors to modern agriculture. Climate change and the emergence of new viral strains affect the health and biodiversity of crops and of plants in general, while the continued growth of the human population emphasizes the need for sustainable agriculture. This workshop will provide a forum for discussion of current problems on vectored transmission of plant viruses, with the goal of identifying mathematical, computational, and statistical methods, as well as insights derived using these methods.
The Seminar on Stochastic Processes (SSP) in 2014 will be held at the University of California at San Diego on March 26-29, 2014. The local organizers will be Patrick Fitzsimmons, Amber Puha, Jason Schweinsberg, and Ruth Williams. The invited speakers will be Rodrigo Banuelos (Kai Lai Chung Lecturer), Sandra Cerrai, Neil O'Connell, Sebastien Roch, and Ramon van Handel. Tutorial lectures aimed at new researchers will be given by Vladas Sidoravicius in the afternoon of Wednesday, March 26, the day before the main SSP program begins.
MCQMC meetings focus on Monte Carlo (MC) and quasi-Monte Carlo (QMC) methods. QMC is about derandomizing MC to get improved accuracy.
Core topics include random number generation, complexity of numerical integration and approximation, construction of equidistributed sequences, infinite dimensional applications, as well as Markov chain and particle methods and rare event simulation.
Our investigative workshop will pursue four goals:
Develop novel models that capture contamination and pathogen growth dynamics involved in sanitization, packaging and shipping.
Discuss and develop multi-scale models that connect these supply chain links to form a global picture.
Explore how these new models can aid in more relevant data collection to test and inform model predictions at both the local and global levels.
Provide a venue for collaboration among mathematical modelers, food technologists, statisticians, microbiologists, and industrial and government agency representatives in order to synthesize knowledge in a way that establishes modeling as an indispensable tool for pathogen surveillance and control in the fresh produce industry.
This investigative workshop will bring together a multi-disciplinary group of molecular and cell biologists, physiologists, ecologists, mathematicians, computational biologists, and statisticians to explore the challenges and opportunities for developing and implementing models that are specifically designed to provide a mechanistic link between levels of biological organization in a way that can inform ecological risk assessment and ultimately environmental policy and management.
Modeling biological data requires powerful mathematical and statistical tools and techniques. This tutorial is for biologists interested in doing statistics with more complex non-linear models of their data and for mathematicians interested in learning how to apply their modeling skills to the unique demands of real dynamic biological data. Methods for parameter estimation that will be taught include maximum likelihood and ordinary least squares. Additional tools of model identifiability and sensitivity analysis will be covered.
Following a tradition established in 1999, and after PLS'09 in Beijing and PLS'12 in Houston , the 8th International Symposium on PLS and Related Methods will take place in Paris (France), jointly organized by CNAM and ESSEC Business School.
This eighth edition will focus on original methodological contribution in both PLS Regression, PLS Path Modeling and their related methods with application in areas and disciplines related to Management, Social Sciences, Chemometrics, Sensory Analysis, Industry and Life Sciences including Genomics.
Advances in genomic technology and significant decrease in the associated costs are driving progress in genetic studies for disease gene identification. Studies of whole exome and genome sequences of complex traits in large samples will become increasingly common. Other sources of high-dimensional information, including expression, epigenetic, metabolic and microbiomic data, are also being commonly collected in disease and control samples. To fully understand the complex bases of human disease, all of these factors should be properly considered in a unified analytical framework, together with epidemiological data on environmental exposures and other risk factors. This meeting will discuss how to address the analytical challenges presented by these sources of data
The WNAR/IMS Conference is an annual conference held jointly by the Western North American Region of the International Biometrics Society and the Institute of Mathematical Statistics. Meeting activities include oral presentations, poster presentations, a short course, student paper competition, society business meetings, committee meetings, social activities and networking opportunities. Date and location to be arranged.
University of British Columbia, Vancouver, BC, Canada
Probability Summer School at U. British Columbia featuring 4-week courses by Elchanan Mossel (Influences and noise stability in product space) and Asaf Nachmias (Random walks on random fractals).
Short courses will be given by Alison Etheridge (Stochastic models of evolution), Allan Sly (Phase transitions for random constraint satisfaction) and Ofer Zeitouni (Log correlated Gaussian fields and branching random
Support for accommodation is available for some participants--see webpage for information.
Continuing the series of Conferences in Mysore (2000), Warsaw (2002-04), Izmir (2005), Mashad (2006), Amman (2007), Aachen (2008), Zagazig (2010), Murcia (2012), the Institute of Mathematics, Polish Academy of Sciences and Nicolaus Copernicus University will host the 11th International Conference on Ordered Statistical Data. The conference will bring forth recent advances in the theory of ordered statistical data, including order statistics, records, censoring schemes and their applications in reliability, statistics and lifetime analysis.
Leptospirosis is a zoonotic disease of global public health importance with complex transmission dynamics. This workshop will explore mathematical tools and approaches for describing 1) within-host dynamics of Leptospira infection and immunity in reservoir and incidental hosts; 2) multi-host, multi-species Leptospira transmission dynamics in urban and rural settings; and 3) environmental drivers of leptospirosis transmission in animals and people.
ALT'2014 is the 5th international conference concerned with the latest scientific results and applications in reliability testing and analysis. The aim of the conference is to bring researchers and practitioners from universities, institutions and industries, together to present and discuss innovative methodologies and practical applications in the reliability field: assessment, modeling, testing, analysis, design and optimization.
The International Chinese Statistical Association (ICSA) and the Korean International Statistical Society (KISS)Joint Applied Statistics Symposium will be held from Sunday, June 15 to Wednesday, June 18, 2014 at Portland Marriott Downtown Waterfront in Portland, Oregon.
Call for Invited Session Proposals:
The deadline for the invited session proposal is November 1, 2013.
The Institute consists of a summer school in spatial and spatio-temporal statistics, a workshop in nonstationary spatial covariance modeling, and a workshop in multivariate spatial methods. The instructors are among the leading researchers in the field.
The summer school will cover a range of topics, with theoretical and applied lectures as well as computer labs. The nonstationary spatial covariance workshop will compare different methods on common data sets provided in advance. The multivariate workshop will present the latest developments.
The emphasis of the event is equally distributed between finance and actuarial science. We expect that this make use of space for debates in this areas and topics such as teaching, research, technical regulation and business practice in Andean and Caribbean regions, and its inter-relation with the rest of the world.
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 registration fee is €300 (euro), covering access to all sessions, two lunches, coffee breaks and conference material. Special arrangements will be made with a local luxury hotel for a limited number of rooms at a special
conference rate. In addition, a number of special events will be organized: A Greek night of entertainment with dinner, a special one-day cruise in the Greek islands, an archaeological tour of Athens and a one-day visit to Delphi.
The scientific program for the 3rd IMS-APRM will consist of Plenary sessions, Distinguished lecture sessions, Invited Paper sessions, topic-contributed paper sessions, contributed paper sessions, and poster sessions.
The conference will present & discuss issues of interest to ecological statisticians & biologists. We will hold sessions focused upon mark-recapture methods, distance sampling methods, other abundance estimation techniques, monitoring of biodiversity, survey design & analysis for estimating population trends, modelling of spatial trends in animal density, integrated population modelling, stochastic population dynamics modelling, stochastic multispecies modelling, individual-based model fitting, & stochastic modelling of animal movement.
The conference is held on the occasion of the 65th birthday of Prof. C.F. Jeff Wu, one of the most celebrated statisticians of our time. The conference intends to bring top researchers together to interact and present their new research findings in areas that have been influenced by Prof. Wu's previous work and related topics. The conference will be held at Huquan Hotel, Mile, Yunnan Province, P. R. China. Huquan Hotel is 85 miles southeast of Kunming. The hotel provides comprehensive facilities for accommodations, conference, dining, and amuse
The aim of this workshop is to highlight the recent advances in the estimation and the simulation of jump diffusions. The most recent
achievements in inference of jump diffusions will be considered, such as series approximation, perfect simulation algorithms, sequential Monte Carlo methods and spectral based simulation methods.
Scheduled every two years, the conference is a major Iranian event for statistics and probability, covering all their branches, including theoretical, methodological, applied and computational statistics and probability, and stochastic processes.