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Information on didactic, research and institutional assignments on this page are certified by the University; more information, prepared by the lecturer, are available on the personal web page and in the curriculum vitae indicated on this webpage.
Information
LecturerGuglielmi Alessandra
QualificationFull professor full time
Belonging DepartmentDipartimento di Matematica
Scientific-Disciplinary SectorSTAT-01/A - Statistics
Curriculum VitaeDownload CV (147.98Kb - 05/03/2025)
OrcIDhttps://orcid.org/0000-0001-7005-7588

Contacts
Office hours
DepartmentFloorOfficeDayTimetableTelephoneFaxNotes
Matematica---224MondayFrom 10:30
To 11:30
4641---Send an email to confirm the appointment; valid until December 20, 2024, later: arrange a meeting by email.
E-mailalessandra.guglielmi@polimi.it
Personal websitehttps://guglielmi.faculty.polimi.it/

Data source: RE.PUBLIC@POLIMI - Research Publications at Politecnico di Milano

List of publications and reserach products for the year 2025 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
Model-Based Clustering of Spatial Time Series Through the BayesMix library (Show >>)
Spatio-temporal Clustering of PM2.5 in northern Italy using a Bayesian model (Show >>)
Journal Articles
BayesMix: Bayesian Mixture Models in C++ (Show >>)


List of publications and reserach products for the year 2024 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Contributions on scientific books
Bayesian optimization for cloud resource management through machine learning (Show >>)
Conference proceedings
A Bayesian Binomial Regression Model for Ozone Levels in Northern Italy (Show >>)
PAK-MAN: Enhancing Parallel Bayesian Optimization of Cloud and HPC Systems via Machine Learning (Show >>)
d-MALIBOO: a Bayesian Optimization framework for dealing with Discrete Variables (Show >>)
Journal Articles
Childhood obesity in Singapore: A Bayesian nonparametric approach (Show >>)
Clustering blood donors via mixtures of product partition models with covariates (Show >>)
Integrating Bayesian Optimization and Machine Learning for the Optimal Configuration of Cloud Systems (Show >>)
The multivariate Bernoulli detector: change point estimation in discrete survival analysis (Show >>)


List of publications and reserach products for the year 2023 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
A Bayesian weather–driven spatio–temporal model for PM10 in Lombardy (Show >>)
Journal Articles
Bayesian functional emulation of CO2 emissions on future climate change scenarios (Show >>)
Bayesian nonparametric mixture modeling for temporal dynamics of gender stereotypes (Show >>)
Gender inequalities at work in Southern Europe (Show >>)
Predicting donations and profiling donors in a blood collection center: a Bayesian approach (Show >>)


List of publications and reserach products for the year 2022 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Contributions on scientific books
Bayesian optimization with machine learning for big data applications in the cloud (Show >>)
Conference proceedings
A Bayesian spatio–temporal model of PM10 pollutant in the Po Valley (Show >>)
MALIBOO: When Machine Learning meets Bayesian Optimization (Show >>)
Repulsive mixture models for high-dimensional data (Show >>)
Journal Articles
Bayesian modeling and clustering for spatio-temporal areal data: an application to Italian unemployment (Show >>)
Focal electroretinogram and microperimetry testing of photoreceptor-retinal pigment epithelium function in intermediate age-related macular degeneration (Show >>)
MCMC computations for Bayesian mixture models using repulsive point processes (Show >>)


List of publications and reserach products for the year 2021 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
A transdimensional MCMC sampler for spatially dependent mixture models (Show >>)
Anisotropic determinantal point processes and their application in Bayesian mixtures (Show >>)
Spatially dependent mixture models with a random number of components (Show >>)
Journal Articles
Bayesian spatio-temporal modelling and prediction of areal demands for ambulance services. (Show >>)
Clustering Species With Residual Covariance Matrix in Joint Species Distribution Models (Show >>)
Spatially dependent mixture models via the logistic multivariate CAR prior (Show >>)
The semi-hierarchical Dirichlet process and its application to clustering homogeneous distributions (Show >>)
manifesti v. 3.9.3 / 3.9.3
Area Servizi ICT
25/04/2025