Research output per year
Research output per year
Personal profile
Education/Academic qualification
Mathematics with emphasis on Statistics, Doctor in Philosophy, Extremum Estimators and Stochastic Optimization, NOVA University Lisbon
Award Date: 20 May 2009
Economics, Master in Science, Mean Regression for Censored Length-Biased Data, NOVA School of Business and Economics
Award Date: 20 Mar 2009
Mathematics, Bachelor of Science, Some Mathematical Considerations on Statistical Burden, NOVA University Lisbon
Award Date: 1 Jul 2004
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Dive into the research topics where Miguel de Carvalho is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Semiparametric Bayesian modeling of nonstationary joint extremes: How do big tech’s extreme losses behave?
de Carvalho, M. & Ramirez, K. V. P., 26 Dec 2024, In: Journal of the Royal Statistical Society: Series C. qlae062.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
The need for large sample numbers to demonstrate lifeless Martian environments
Inacio, V., de Carvalho, M., Jackson, O., McMahon, S. & Cockell, C. S., 16 Dec 2024, In: Nature Astronomy. 8, 12, p. 1493-1495Research output: Contribution to journal › Comment/debate › peer-review
Open AccessFile -
A game-inspired algorithm for marginal and global clustering
de Carvalho, M., Martos, G. & Svetlošák, A., 30 Apr 2025, In: Pattern Recognition. 160, 111158.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
How to Model It: Pólya’s Forgotten Lesson Transcribed for Statistics and Data Science
de Carvalho, M., 18 Oct 2024, In: CHANCE. 37, 3, p. 32-34Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Bayesian smoothing for time-varying extremal dependence
Lee, J., de Carvalho, M., Rua, A. & Avila, J., 30 Jun 2024, In: Journal of the Royal Statistical Society: Series C. 73, 3, p. 581-597Research output: Contribution to journal › Article › peer-review
Open AccessFile
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The abrdn investment co-pilot: Statistical intelligence at work
de Carvalho, M., Costa Sperb, F., He, F. & Sabanis, S.
1/03/24 → 28/02/26
Project: Research
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Improving two-step prediction models in Consumer Research
UK industry, commerce and public corporations
1/09/17 → 31/08/21
Project: Research