Welcome / Events / Workshops and short courses / 3rd Workshop on Maximum Entropy and its Applications

3rd Workshop on Maximum Entropy and its Applications


Department of Mathematics, University of Aveiro

October 17, 2018 – Room 11.1.3




The theory of maximum entropy plays an important role in the analysis of ill-posed problems that occur in diverse areas of science. It is on the foundations of Info-Metrics, a research area at the intersection of statistics, computer science and decision theory, among others fields. This workshop aims to promote methodologies and new applications.


13:50 – 14:00



14:00 – 14:45

Amos Golan [Info-Metrics Institute, American University; Santa Fe Institute; Pembroke College, Oxford]


Model Misspecification: Classical Statistics vs. Info-Metrics


14:45 – 15:30

Enrico Ciavolino [University of Salento; SARA Lab]


Streaming Generalized Cross Entropy


15:30 – 16:00

Coffee break


16:00 – 16:30

Carlos Pires [Institute Dom Luiz (IDL), Faculty of Sciences, University of Lisbon]


Minimum mutual information constrained by imposed cross statistics: properties, estimation, and examples


16:30 – 17:00

António Xavier [CEFAGE, University of Évora]


An approach based on entropy to disaggregate agricultural data at the field level


17:00 – 17:30

Aníbal Galindro [CETRAD, University of Trás-os-Montes and Alto Douro]


Wine productivity per farm size: A maximum entropy application


Download Programme PDF


An Info-Metrics tutorial will be given by Professor Amos Golan in the Faculty of Economics, University of Porto, during October 15-19, including a seminar entitled “Data Confession, Torture and Truth: Classical Statistics vs. Info-Metrics”, on October 19, 1-2pm, room 613. Please, contact Professor Elvira Silva (esilva@fep.up.pt) for additional details.


Organizers: Andreia Dionísio, Elvira Silva, Maria Conceição Costa and Pedro Macedo.


Registration is free of charge but mandatory in http://maxentropyws.com until October 10.


This workshop is supported in part by the Portuguese Foundation for Science and Technology (FCT – Fundação para a Ciência e a Tecnologia), through CIDMA – Center for Research and Development in Mathematics and Applications, within project UID/MAT/04106/2013.