Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Monia Lupparelli"'
Publikováno v:
Electronic Journal of Statistics, 16(1), 1393-1433. Institute of Mathematical Statistics
Armillotta, M, Luati, A & Lupparelli, M 2022, ' Observation-driven models for discrete-valued time series ', Electronic Journal of Statistics, vol. 16, no. 1, pp. 1393-1433 . https://doi.org/10.1214/22-EJS1989
Armillotta, M, Luati, A & Lupparelli, M 2022, ' Observation-driven models for discrete-valued time series ', Electronic Journal of Statistics, vol. 16, no. 1, pp. 1393-1433 . https://doi.org/10.1214/22-EJS1989
Statistical inference for discrete-valued time series has not been developed like traditional methods for time series generated by continuous random variables. Some relevant models exist, but the lack of a homogenous framework raises some critical is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8419e054d5d062ac7315dfa7318dc18e
https://research.vu.nl/en/publications/8a676fd1-d05c-467e-afc2-50a58572a433
https://research.vu.nl/en/publications/8a676fd1-d05c-467e-afc2-50a58572a433
Publikováno v:
Alma Mater Studiorum Università di Bologna-IRIS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::11f91892265af8914fdf32932d975858
http://hdl.handle.net/11585/818674
http://hdl.handle.net/11585/818674
This book focuses on methods and models in classification and data analysis and presents real-world applications at the interface with data science. Numerous topics are covered, ranging from statistical inference and modelling to clustering and facto
Publikováno v:
Alma Mater Studiorum Università di Bologna-IRIS
A large variety of time series observation-driven models for binary and count data are currently used in different contexts. Despite the importance of station- arity and ergodicity to ensure suitable results, for many of these models stationarity is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d8105df5d25ddd900fe67f5a4024422b
http://hdl.handle.net/11585/733072
http://hdl.handle.net/11585/733072
Autor:
Monia Lupparelli, Alessandra Mattei
Publikováno v:
Journal of Multivariate Analysis. 178:104609
Causal inference on multiple non-independent outcomes raises serious challenges, because multivariate techniques that properly account for the outcome’s dependence structure need to be considered. We focus on the case of binary outcomes framing our
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::635da5252956b2e23a1007db04287519
https://doi.org/10.1016/j.jmva.2020.104609
https://doi.org/10.1016/j.jmva.2020.104609
Autor:
Monia Lupparelli
Publikováno v:
Statistical methods in medical research. 28(10-11)
In linear regression modelling, the distortion of effects after marginalizing over variables of the conditioning set has been widely studied in several contexts. For Gaussian variables, the relationship between marginal and partial regression coeffic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ffb14a9850b5c37a8e4b2358359c03b
https://pubmed.ncbi.nlm.nih.gov/30352537
https://pubmed.ncbi.nlm.nih.gov/30352537
Publikováno v:
Bayesian Anal. 14, no. 3 (2019), 777-803
Bayesian methods for graphical log-linear marginal models have not been developed in the same extent as traditional frequentist approaches. In this work, we introduce a novel Bayesian approach for quantitative learning for such models. These models b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b9f8a932fafa1222b4295c3fdcb9170
http://arxiv.org/abs/1807.01152
http://arxiv.org/abs/1807.01152
Publikováno v:
Sociological Methodology. 43:109-113
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae197e43b83095e206b00f735aa3152b
https://doi.org/10.1177/0081175013493395
https://doi.org/10.1177/0081175013493395
Autor:
Francesco Bartolucci, Monia Lupparelli
Publikováno v:
Scandinavian Journal of Statistics. 35:629-649
We propose a criterion for selecting a capture-recapture model for closed populations which follows the basic idea of the Focused Information Criterion (FIC) of Claeskens and Hjort (2003). The proposed criterion aims at selecting the model which, amo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30a19a0a03864f397f06c1e41bea7b02
https://doi.org/10.1111/j.1467-9469.2008.00604.x
https://doi.org/10.1111/j.1467-9469.2008.00604.x