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Statistics, Stochastic Processes and Applications CIMA - University of Évora. http://www.cima.uevora.pt. January 14, 2016 Badajoz. Life Science : Forestry, Agriculture and Fisheries, Public Health, Medicine, Genetics, Epidemiology, Social and Demographic issues, etc.
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Statistics, Stochastic Processes and Applications CIMA - University of Évora http://www.cima.uevora.pt January 14, 2016 Badajoz
Life Science: Forestry, Agriculture and Fisheries, Public Health, Medicine, Genetics, Epidemiology, Social and Demographic issues, etc. Industry and Telecommunications: Efficiency analysis, Finance, and wireless sensors networks, internet traffic, etc. Mathematical-Physics: Fractional Processes and grey Brownian motion; Infinite particle systems, etc.
Main Research Lines A) Stochastic Processes and Applications A1. Population and individual modelling in random environments A2. Stochastic Processes, Time Series Analysis and Space-time Modelling B) Statistical Modeling and Data Analysis B1. Sampling elusive populations and parameter estimation B2. Multivariate Analysis and Experimental Designs B3.Quality Control and Survival Analysis C) Stochastic and Mathematical Physics C1. Stochastic analysis associated to Fractional Processes and grey Brownian motion C2. Infinite particle systems and Polymer Physics C3. Measurement uncertainty phenomena and Wireless sensors networks
Main research areas A1: Population and Individual modeling in random environments Life Science Applications: Agriculture, Fisheries, Social and Demographic issues, etc. Carlos Braumann; Patricia Filipe; Clara Carlos; Nuno Brites: Dynamical modelling in randomly varying environments of the size of wildlife populations (and applications in fisheries) and of the size of individual farm animals using stochastic differential equations (SDE). Associated profit optimization issues and statistical issues of parameter estimation and prediction. Also other applications of SDE’s [in finance with Manuela Larguinho mmlarguinho@gmail.com; in time evolution of human death rates (useful in insurance and social security) with Sandra Lagartosdlagarto@gmail.com]. braumann@uevora.pt; pasf@uevora.pt; clara.carlos@est.barreiro.ips.pt; brites@uevora.pt
A2: Stochastic Processes, Time Series Analysis and Space-time Modeling Industry and Efficiency analysis, Finance, etc. Gonçalo Jacinto: Modelling and Performance evaluation of ADHOC and Sensor Networks. Estimating Internet traffic using the partial information of the network, obtained by probe packets. gjcj@uevora.pt Dulce Gomes; Patricia Filipe: Application of Time Series and Dynamic Regression analysis to the Pulmonary Tuberculosis incidence rates incidence in Portugal. Modelling of Pulmonary Tuberculosis Delay-Time in Diagnosis, using Structured Additive Regression models and Survival Analysis methodologies.dmog@uevora.pt; pasf@uevora.pt
B1: Sampling elusive populations and parameter estimation Life Science: Agriculture, Fisheries, Social and Demographic issues, etc. Russell-Alpizar ; Anabela Afonso: Methods for estimating animal abundance and related parameters, model development, and estimators assessments. Applications to mountain ungulate populations, human populations and “computer bugs”. alpizar@uevora.pt; afonso@uevora.pt
B2: Multivariate Data Analysis and Experimental Designs Life Science: Forestry, Wildlife, Agriculture, Public Health, Medicine, Genetics, Epidemiology, Network, Cognitive maps, Education,etc, Manuela Oliveira: Developmentofmathematicalmodels to characterizewildfiresand to estimateitsprobabilityofoccurrence as well as itsdamages. Development statisticalmodels to identify relevant indicators of different cancers. AVC problems. Theory of risk models in natural disasters. Statistical inference in linear mixed models. Bayesian inference with TRI model in Education problems. mmo@uevora.pt Dulce Pereira: Developments in JRA - Joint Regression Analysis. Comparison of JRA and AMMI models. Dulce Pereira; AnabelaAfonso: assessing Friedman’s test and post-hoc analysis performance. Multivariate data analysis in ForestyandBiologydgsp@uevora.pt Manuel Minhoto: Selection of variables in the context of Exploratory Analysis of a Data Matrix and General Linear Models. minhoto@uevora.pt
B3: Quality Control and Survival Analysis Industry Paulo Infante; Anabela Afonso; Gonçalo Jacinto: Introducingnewsamplingschemes in controlcharts (for variables, attributes, profilemonitoring, riskadjusted) andanalyseeconomic-statistical performance ofthesecontrolchartsconsidering usual andnewcomparisoncriteria. Modelingandmonitoringeducational data (students performance, durationofthemaster'sthesis, time ofadministrativeprocedures) andhealthcare data (manchesterdatabase, waiting time in theemergencyroom, survival time of HIV patients, survival time ofpatientswithcancer. Benefitsof active aging - collaborationwith Évora Municipality; Project AdolesSer for healtheducation for sexual andreproductivehealth - collaborationwithHealthCentersGroupingof Alentejo Central. pinfante@uevora.pt
C: Stochastic and Mathematical Physics C1 e C2: Fractional Processes and grey Brownian motion; Infinite particle systems and Polymer Physics José Luís e Ludwig Streit: Self-avoidingrandompathmodels for polymerconfigurationshavebeenstudiedextensively in mathematicsusingcombinatorics, stochasticanalysis, in statisticalmechanics, and in computerphysicsusing Monte Carlo methods. Thefieldishighlyinterdisciplinary, themotivation came fromchemistry, whilephysicsprovidesstructuralintuition. Themathematicalresults are lessfar-reachingbutprovidethehigherreliabilitycharacteristicofthemathematicalapproach; muchremains to bedone in thestochasticanalysissetting. joses@staff.uma.pt; streit@physik.uni-bielefeld.de C3. Measurement uncertainty phenomena and Wireless sensors networks Joaquim Azevedo e João Alves e Sousa jara@uma.pt; jasousa@lrec.pt
International Collaborations • Research Agreement between University of Évora and University of Campinas, Biomathematics Group - Brazil. • Academic and Cultural Cooperation Agreement between University of Évora and University of Costa Rica. • Collaboration with the General Direction for International Cooperation of Cape Verde, General Direction of Planning of Cape Verde and United Nations, and University of Cape Verde. • Forest Science, School of Forest Resources, University of Pennsylvania, U.S.A. • Patuxent Wildlife Research Center, Laurel, Maryland, U.S.A. • Department of Statistics, North Carolina State University, U.S.A. • University of Zielona Gora and University of Pozna, Poland. • University Paul Sabatier, Toulouse, France. • University of São Paulo. ESALQ. Piracicaba. • University of Jaén, Spain. • Participation in SOCRATES/ERASMUS programs (Spain and Poland).
Research projects with PI (principal investigator) or participation of group members (TM) Last 5 years (15) H2020-MSCA-RISE-2015 / 691149. SuFoRun Models and decision SUpport tools for integrated FOrest policy development under global change and associated Risk and Uncertainty. Marie Curie International Staff Exchange Scheme. PI: Garcia (ISA), TM: M. Oliveira (2011-2014). (2016-2021) FP7-PEOPLE-2010-IRSES/269257. ForEAdapt-Knowledge exchange between Europe and America on forest growth models and optimization for adaptive forestry. Marie Curie International Staff Exchange Scheme. PI: Garcia (ISA), TM: M. Oliveira (2011-2014). PTDC/MAT/115168/2009 - Dynamics of epidemiological spreading, PI: Nico Stollenwerg (CMAF,U.Lisboa + U.Évora).TM: C.Braumann, (2011-13) PTDC/SAU-SAP/116950/2010 - Controlo da Tuberculose Pulmonar em Portugal numa perspectiva espácio-temporal: determinantes, tendências e previsões da incidência em unidades geográficas. Contributo para um programa optimizado. PI: Carla Nunes (ENSP-UNL), TM: D.Gomes and P.Filipe (2012-2014). PTDC/AGR-FOR/4526/2012. SADRI - Models and Decision Support Systems for Adressing Risk and Uncertainty in Forest Planning. PI: J. Borges (ISA), TM: M. Oliveira (2013-2015) PEC263 . Escolher Ciência da Escola à Universidade. Aplicando Matemática”. Entidade Coordenadora: Universidade de Évora. PI : Joaquim Correia. Ciência Viva. Agência Nacional para a Cultura Cientifica e Tecnológica. TM: M. Oliveira (2013-2015) PTDC/GEO-FIQ/4178/2012. Eletric and acoustic coupling in rocks mechanical action. PI: H. Gonçalves (UÉ), TM: M. Oliveira Entidade Financiadora: Fundação para Ciência e Tecnologia. (2013-2016)
FAPESP Thematic Project. Assessing control of epidemics using mathematical and computer models. : UNICAMP – IMEC /15098-0 project Campinas University, Brazil. PI: Hyun M. Yang. TM: C.Braumann, R.Alpizar-Jara, (2011-16). Projecto da Fundação Francisco Manuel dos Santos. Determinantes da fecundidade em Portugal.. CIDEHUS da Universidade de Évora. PI: F. Mendes; TM: P. Infante; A. Afonso. 2013-2015 FCT–Bilateral Action Between Portugal and Slovak Cooperação Científica e tecnológica FCT/Eslováquia, 2011/2012–Processo 441.00 Eslováquia. Oportunidade de implementação de ferramentas de Sistemas de Apoio à Decisão na gestão florestal, PI: J.Borges (ISA), TM: M.Oliveira, V.Bushenkov (2011-2012). PTDC/AAG-MAA/3227/2012NETPERSIST. Análise de redes na identificação de limiares críticos de conectividade para a persistência de metapopulações em paisagens agrícolas complexas. FCT funded, R.Alpizar-Jara. PI: A. Mira (CIBIO-U.E.). TM: R. Alpizar-Jara. (2012-2015).Direção Geral da Saúde (Alto Comissário da Saúde) Portugal. Violência, abuso, negligência e condição de saúde dos idosos, PI: M. Lopes (UE)–TM: D.Pereira, (2012). FCT–Bilateral Action Between Portugal and Slovak . Oportunidade de implementação de ferramentas de Sistemas de Apoio à Decisão na gestão florestal. PI: J.Borges (ISA), TM: M.Oliveira (2011-2012). PTDC/EIA-EIA/115988/2009 AWARW. Traffic analysis, modelling and measurements for the management of the future Internet. PI: R. Valadas (IST-UNL), TM: G. Jacinto. Automated acoustic identification of bat species. PI: G. Jacinto - Bat Conservation International, Inc. (BCI), USA, (2011-2012).
Publications links: Universityof Évora: cima.uevora.pt Universityof Madeira: ccm.uma.pt
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