Type	Program	Institution	Year
PhD	Matemática	Universidade de Évora	2011
M.Sc.	Probabilidades e Estatística	Faculdade de Ciências da Universidade de Lisboa	2003
Licenciate	Matemática Aplicada	Universidade de Évora	1999

Curricular Courses

Supervisions

Phd Thesis

Nelson Tchingui Jamba, "Modelos mistos de crescimento individual em ambiente aleatório", Patrícia Andreia da Silva Filipe, Phd Thesis, Concluded

Jaime Agostinho Jerónimo, "Análise de sobrevivência de mulheres diagnosticadas com cancro de mama em Angola no período de 2013 a 2017", Patrícia Andreia da Silva Filipe, Phd Thesis,

Manuel Ana Mário Alberto, "Sinistralidade rodoviária em Angola: Uma análise em Séries temporais", Patrícia Andreia da Silva Filipe, Phd Thesis,

Master Thesis

Mariana Marques Carapinha, "Segmentação de Clientes de Farmácias Comunitárias com aplicação em KNIME Analytics Platform", Patrícia Andreia da Silva Filipe, Master Thesis, Concluded, 2024

Ana Catarina Guerreiro Parrinha, "Segmentação de clientes: um caso de aplicação em farmácia comunitária", Patrícia Andreia da Silva Filipe, Master Thesis, Concluded, 2024

João Miguel Grácio Alves, "Big Data Analytics na Gestão de uma Rede de Distribuição de Água", Patrícia Andreia da Silva Filipe, Master Thesis, Concluded, 2022

Miguel Costa Lima Lobo, "Aplicação de algoritmos de deep learning: Modelo de reconhecimento de imagem e análise do comportamento dos consumidores em lojas de checkout autónomo", Patrícia Andreia da Silva Filipe, Master Thesis, Concluded, 2022

Ana Paula Ferrari Januário, "Análise estatística da produção de vitelão Mertolengo", Patrícia Andreia da Silva Filipe, Master Thesis, Concluded, 2021

Marília Bettencourt Silva, "Tempo entre o aparecimento dos primeiros sintomas de Tuberculose e o diagnóstico de doença - Análise de sobrevivência", Patrícia Andreia da Silva Filipe, Master Thesis, Concluded, 2012

Lara Sofia Nunes Rocha, "Análise de Padrões de Procura para Produção de Kits de Picking", Patrícia Andreia da Silva Filipe, Master Thesis,

Jinglu Wang, "O Papel da Inteligência Artificial na Melhoria dos Processos de Recrutamento na Gestão de Recursos Humanos", Patrícia Andreia da Silva Filipe, Master Thesis,

Tiago João do Carmo Vila Nova, "Análise do tipo de dormidas de uma cadeia hoteleira", Patrícia Andreia da Silva Filipe, Master Thesis,

Joana Oliveira Duarte, "Caracterização da mobilidade na cidade de Lisboa, com base em dados de comunicações móveis", Patrícia Andreia da Silva Filipe, Master Thesis,

Final Project

Ricardo Manuel Sampaio Jorge Rolim, "Previsão de vendas para apoio em gestão de farmácias", Patrícia Andreia da Silva Filipe, Final Project, Concluded, 2023

Scientific Articles in International Journals

Jamba, N.T., Filipe, P. A., Jacinto, G. & Braumann, C. A. (2024). Stochastic differential equations mixed model for individual growth with the inclusion of genetic characteristics. Statistics, Optimization and Information Computing. 12 (2), 298-309, Ciência-IUL

Jamba, N. T., Jacinto, G., Filipe, P. A. & Braumann, C. A. (2024). Estimation for stochastic differential equation mixed models using approximation methods. AIMS Mathematics. 9 (4), 7866-7894, Ciência-IUL

Jacinto, G., Filipe, P.A. & Braumann, C. A. (2022). Profit optimization of cattle growth with variable prices. Methodology and Computing in Applied Probability. 24 (3), 1917-1952, Ciência-IUL

Jacinto, G., Filipe, P. A. & Braumann, C. A. (2022). Weighted maximum likelihood estimation for individual growth models. Optimization. 71 (11), 3295-3311, Ciência-IUL

Chakma, B., Gomes, D., Filipe, P. A., Soares, P., Sousa, B. De & Nunes, C. (2022). A temporal analysis on patient and health service delays in pulmonary tuberculosis in Portugal: Inter and intra‑regional differences and in(equalities) between gender and age. BMC Public Health . 22 (1), Ciência-IUL

Jamba, N.T., Jacinto, G., Filipe, P. A. & Braumann, C. A. (2022). Likelihood function through the delta approximation in mixed SDE models. Mathematics. 10 (3), Ciência-IUL

Filipe, P.A., Braumann, C.A. & Carlos, C. (2015). Profit optimization for cattle growing in a randomly fluctuating environment. Optimization. 64 (6), 1393-1407, Ciência-IUL

Bras AL, Gomes D, Filipe, P.A., de Sousa B & Nunes C (2014). Trends, seasonality and forecasts of pulmonary tuberculosis in Portugal. International Journal of Tuberculosis and Lung Disease. 18 (10), 1202-1210, Ciência-IUL

Filipe, P.A., Braumann, C.A. & Roquete, C.J. (2012). Multiphasic Individual Growth Models in Random Environments. Methodology and Computing in Applied Probability. 14 (1), 49-46, Ciência-IUL

Filipe, P.A., Braumann, C.A., Brites, N.M. & Roquete, C.J. (2010). Modelling animal growth in random environments: An application using nonparametric estimation. Biometrical Journal. 52 (5), 653-666, Ciência-IUL

Book Chapters

Sousa, B., Gomes, D., Filipe, P.A., Areias, C., Briz, T., Pires, C....Nunes, C. (2016). STAR Modeling of Pulmonary Tuberculosis Delay-Time in Diagnosis. In Topics in Theoretical and Applied Statistics, Studies in Theoretical and Applied Statistics., Ciência-IUL

Filipe, P.A., Braumann, C.A., Clara Carlos & Carlos J. Roquete (2014). Individual Growth in a Random Environment: An Optimization Problem. In New Advances in Statistical Modeling and Applications., Ciência-IUL

Clara Carlos, Braumann, C.A. & Filipe, P.A. (2013). Models of Individual Growth in a Random Environment: Study and Application of First Passage Times. In Advances in Regression, Survival Analysis, Extreme Values, Markov Processes and Other Statistical Applications., Ciência-IUL

Filipe, P.A., Braumann, C.A., Nuno M. Brites & Carlos J. Roquete (2012). Prediction for Individual Growth in a Random Environment. In Recent Developments in Modeling and Applications in Statistics., Ciência-IUL

Conference Proceedings

de Sousa, B., Pires, C., Gomes, D., Filipe, P.A., Costa-Veiga, A. & Nunes, C. (2020). Structured additive Regression Modeling of pulmonary tuberculosis infection. In Proceedings of ISI WORLD STATISTICS CONGRESS 2019 (Vol. 3). (pp. 225-233)., Ciência-IUL

Alberto, M., Gomes D & Filipe, P.A. (2019). Time series analysis of Luanda road accidents, deaths and injureds. In Meira-Machado, L. and Soutinho, G. (Ed.), Proceedings of the 34th International Workshop on Statistical Modelling, Volume II. (pp. 401-404). Guimarães, Ciência-IUL

Gomes, D., Bras, A., Filipe, P., Sousa, B. & Nunes, C. (2014). Pulmonary tuberculosis diagnosis analysis through dynamic regression models. In Ruiz, G. and Rojas, I. (Ed.), Proceedings ITISE 2014 International work-conference on Time Series. (pp. 1331-1440). Granada, Ciência-IUL

Gomes D, Filipe, P.A., Nunes C & Sousa, B. (2013). Penalized spline smoothing for delay in Pulmonary Tuberculosis diagnosis. In Muggeo, V.M.R. and Capursi, V. and Boscaino, G. and Lovison, G. (Ed.), Proceedings of the 28th International Workshop on Statistical Modelling, Volume II. (pp. 621-625). Palermo, Ciência-IUL

Filipe, P.A., Gomes D, Nunes C, Bettencourt-Silva, M., Sousa, B. & Briz, T. (2012). Delay in diagnosis of Pulmonary Tuberculosis in Portugal. In Komarek, A. and Nagy, S. (Ed.), Proceedings of the 27th International Workshop on Statistical Modelling, Volume II . (pp. 501-506). Praga, Ciência-IUL

Nunes C, Briz, T., Gomes D & Filipe, P.A. (2011). Pulmonary Tuberculosis and HIV/AIDS: joint space-time clustering under an epidemiological perspective. In Cafarelli, B. (Ed.), Proceedings of the Spatial Data Methods for Environmental and Ecological Processes - 2nd Edition. Foggia e Gargano, Ciência-IUL

Braumann, C.A., Filipe, P.A., Carlos, C. & Carlos J. Roquete (2011). Stochastic Differential Equations General Models of Individual Growth in Uncertain Environments and Application to Profit Optimization in Livestock Production. In Bulletin of the International Statistical Institute, Proceedings of the 58th World Statistics Congress 2011 . (pp. 4450-4455). Dublin, Ciência-IUL

Braumann, C.A., Filipe, P.A., Carlos, C. & Carlos J. Roquete (2009). Growth of individuals in randomly fluctuating environments. In Vigo-Aguiar, J. (Ed.), Proceedings of the 2009 International Conference in Computational and Mathematical Methods in Science and Engineering. (pp. 201-212). Gijón, Ciência-IUL

Filipe, P.A., Braumann, C.A. & Carlos J. Roquete (2008). Modelos multifásicos de crescimento de animais em ambiente aleatório . In Oliveira, I. and Correia, E. and Ferreira, F. and Dias, S. and Braumann, C.A. (Ed.), Estatística - Arte de Explicar o Acaso. (pp. 299-306). Vila Real: Edições SPE., Ciência-IUL

Filipe, P.A. & Braumann, C.A. (2007). Crescimento individual em ambiente aleatório: várias trajectórias. In Hill, M.M. and Ferreira, M.A. and Dias, J.G. and Salgueiro, M.F. and Vicente, P. and Braumann, C.A. (Ed.), Estatística - da Teoria à Prática. (pp. 259-268). Lisboa: Edições SPE., Ciência-IUL

Filipe, P.A., Braumann, C.A. & Carlos J. Roquete (2006). Modelos de crescimento de animais em ambiente aleatório. In Ferrão, M.A. and Nunes, C. and Braumann, C.A. (Ed.), Estatística: Ciência Interdisciplinar. (pp. 401-410). Covilhã: Edições SPE., Ciência-IUL

Printed in Scientific Book

Alpizar-Jara, R., Gomes, D., Henriques-Rodrigues, L. & Filipe, P.A. (2021). Book of Abstracts of SPE 2021. Sociedade Portuguesa de Estatística., Ciência-IUL

International Communications

Panel / Poster

Lobo, M. & Filipe, P.A. (2022). Retail store object detection using Yolo. VIII Workshop on Computacional Data Analysis and Numerical Methods., Ciência-IUL

Jerónimo, J., Filipe, P.A. & Gomes, D. (2022). Survival analysis of women diagnosed with breast cancer in Angola. VIII Workshop on Computacional Data Analysis and Numerical Methods., Ciência-IUL

Alves, J. & Filipe, P.A. (2022). Big Data Analytics in Water Consumption. VIIIWorkshop on Computacional Data Analysis and Numerical Methods., Ciência-IUL

Jamba, N.T., Filipe, P.A., Jacinto, G. & Braumann, C.A. (2021). Mixed models for individual growth in random environment through Laplace approximation. V Latin American Conference on Statistical Computing (LACSC2021)., Ciência-IUL

Alberto, M., Filipe, P.A. & Gomes D (2019). A Time series analysis of road traffic accidents in Luanda. 13th International Conference on Statistics, Mathematics and Computation., Ciência-IUL

Alberto, M., Gomes D & Filipe, P.A. (2019). Time series analysis of Luanda road accidents, deaths and injureds. 34th edition of the International Workshop on Statistical Modelling., Ciência-IUL

Jerónimo, J., Filipe, P.A. & Gomes D (2019). Análise de sobrevivência de mulheres diagnosticadas com cancro de mama em Angola no período 2013 a 2018. XXIV Congresso da Sociedade Portuguesa de Estatística., Ciência-IUL

Gomes D, Bras AL, Filipe, P.A., Sousa, B. & Nunes C (2014). A dynamic regression analysis of pulmonary tuberculosis incidence. ISCB 2014 - 35th Annual Conference of the International Society for Clinical Biostatistics., Ciência-IUL

Gomes D, Filipe, P.A., Nunes C & Sousa, B. (2013). Penalized spline smoothing for delay in Pulmonary Tuberculosis diagnosis. IWSM2013 - 28th International Workshop on Statistical Modelling., Ciência-IUL

Bettencourt-Silva, M., Filipe, P.A., Gomes D, Areias, C. & Nunes C (2013). A tuberculose pulmonar em crianças e adolescentes em Portugal continental. XXI Congresso Anual da Sociedade Portuguesa de Estatística., Ciência-IUL

Gomes D, Filipe, P.A., Sousa, B., Briz, T. & Nunes C (2012). Modelação da Demora no Diagnóstico de Tuberculose Pulmonar em Portugal. XX Congresso Anual da Sociedade Portuguesa de Estatística., Ciência-IUL

Filipe, P.A., Gomes D, Nunes C, Bettencourt-Silva, M. & Sousa, B. (2012). Delay in diagnosis of Pulmonary Tuberculosis in Portugal. IWSM2012 - 27th International Workshop on Statistical Modelling., Ciência-IUL

Gomes D, Nunes C, Filipe, P.A. & Briz, T. (2011). Controlo da Tuberculose em Portugal: demora entre o início dos primeiros sintomas e o diagnóstico da doença. XIX Congresso Anual da Sociedade Portuguesa de Estatística., Ciência-IUL

Nunes C, Briz, T., Gomes D & Filipe, P.A. (2011). Pulmonary Tuberculosis and HIV/AIDS: joint space-time clustering under an epidemiological perspective. Spatial Data Methods for Environmental and Ecological Processes - 2ª Edição., Ciência-IUL

Oral Presentation

Braumann,C.A., Jacinto, G. & Filipe, P.A. (2022). Stochastic differential equation models of animal growth and optimization in cattle raising. International Conference on Mathematical Analysis and Applications in Science and Engineering., Ciência-IUL

Braumann,C.A., Jacinto, G. & Filipe, P.A. (2022). General Stochastic Differential Equation Models of Animal Growth with Application to Optimization in Cattle Raising. SIAM Conference on Life Sciences LS22., Ciência-IUL

Jamba, N.T., Jacinto, G., Filipe, P.A. & Braumann, C.A. (2022). Approximation methods for the likelihood function in parameter estimation for SDE mixed models. VIII Workshop on Computational Data Analysis and Numerical Methods., Ciência-IUL

Filipe, P.A., Jacinto, G. & Braumann, C.A. (2021). Weighted maximum likelihood estimation for SDE individual growth models. XXV Congresso da Sociedade Portuguesa de Estatística., Ciência-IUL

Braumann,C.A., Jacinto, G. & Filipe, P.A. (2021). Profit optimization for a stochastic model of cattle growth and variable price categories. 2nd International Workshop on Stochastic Processes and Their Applications (IWSPA 2021)., Ciência-IUL

Braumann,C.A., Jacinto, G. & Filipe, P.A. (2021). Profit Optimization of Cattle Growth with Variable Price Categories. 12th Conference on Dynamical Systems Applied to Biology and Natural Sciences. DSABNS2021 Virtual., Ciência-IUL

Jacinto, G., Filipe, P.A. & Braumann, C.A. (2021). Individual growth modelling with stochastic differential equations. International Conference on Dynamic Control and Optimization, International Conference on occasion of 65th birthday of Andrey V. Sarychev., Ciência-IUL

de Sousa, B., Pires, C., Gomes, D., Filipe, P.A., Costa-Veiga, A. & Nunes, C. (2021). STAR Modeling in the battle against Pulmonary Tuberculosis: risk areas and associated risk factors. 14th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2021)., Ciência-IUL

Jacinto, G., Filipe, P.A. & Braumann, C.A. (2020). Individual Growth Modelling with Stochastic Differential Equations. VII Workshop on Computational Data Analysis and Numerical Methods., Ciência-IUL

National Communications

Panel / Poster

Jamba, N.J., Filipe, P.A., Jacinto, G. & Braumann, C.A. (2021). Likelihood function approximation through the delta method in mixed SDE models. XXVIII Jornadas de Classificação e Análise de Dados (JOCLAD2021)., Ciência-IUL

Oral Presentation

Gomes, D., Silva, C. J. & Filipe, P.A. (2023). Classic and deep learning techniques for temporal clustering and mathematical modeling. Encontro Anual do CIMA 2023., Ciência-IUL

Filipe, P.A., Jacinto, G., Jamba, N.T. & Braumann, C.A. (2023). Stochastic differential equations mixed models to describe individual growth. Encontro Anual do CIMA 2023., Ciência-IUL

Jacinto, G., Filipe, P.A. & Braumann, C.A. (2022). Modelos de crescimento dinâmicos para a raça mertolenga e a raça alentejana. Workshop BovMais (Operational Group GOBovMais)., Ciência-IUL

Jacinto, G., Filipe, P.A. & Braumann, C.A. (2022). Individual growth models with stochastic differential equations. Encontro Anual do CIMA., Ciência-IUL

Filipe, P.A., Jacinto, G. & Braumann, C.A. (2022). Weighted maximum likelihood estimation method for SDE individual growth models. III Encontro Português de Biomatemática., Ciência-IUL

Jacinto, G., Filipe, P.A. & Braumann, C.A. (2021). Profit optimization with sensitivity analysis for cattle growth using Gompertz and Bertalanffy-Richards SDE models. XXV Congresso da Sociedade Portuguesa de Estatística., Ciência-IUL

Januário, A.P., Filipe, P.A. & Jacinto, G. (2021). A Classification model for Mertolenga cattle breed. XXV Congresso da Sociedade Portuguesa de Estatística., Ciência-IUL

Braumann,C.A., Jacinto, G. & Filipe, P.A. (2021). Profit optimization for SDE cattle growth models using a general profit structure. XXV Congresso da Sociedade Portuguesa de Estatística., Ciência-IUL

Jamba, N.T., Filipe, P.A., Jacinto, G. & Braumann, C.A. (2021). Mixed models for individual growth in random environment through Laplace and delta method approximation methodologies. XXV Congresso da Sociedade Portuguesa de Estatística., Ciência-IUL