RIMELLA, Lorenzo Statistiche
RIMELLA, Lorenzo
Dipartimento di Scienze Economiche
Mostra
schede
Risultati 1 - 15 di 15 (tempo di esecuzione: 0.013 secondi).
[Correction to:] Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods
2025-01-01 Whitehouse, Michael; Whiteley, Nick; Rimella, Lorenzo
Disclosure risk assessment with Bayesian non-parametric hierarchical modelling
2025-01-01 Battiston, Marco; Rimella, Lorenzo
Empirical Bayes for the Ridge Penalty in Probit Models
2025-01-01 Fasano, Augusto; Rebaudo, Giovanni; Rimella, Lorenzo
Hidden Markov Neural Networks
2025-01-01 Rimella, Lorenzo; Whiteley, Nick
Machine learning method for As-Is tunnel information model reconstruction
2025-01-01 Rimella, Nicola; Rimella, Lorenzo; Osello, Anna
Simulation based composite likelihood
2025-01-01 Rimella, Lorenzo; Jewell, Chris; Fearnhead, Paul
Whitehouse, Whiteley, and Rimella's contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al
2025-07-01 Whitehouse, Michael; Whiteley, Nick; Rimella, Lorenzo
A state-space perspective on modelling and inference for online skill rating
2024-01-01 Duffield, Samuel; Power, Samuel; Rimella, Lorenzo
Key environmental exposure pathways to antimicrobial resistant bacteria in southern Malawi: A SaniPath approach
2024-01-01 Mwapasa, Taonga; Chidziwisano, Kondwani; Mphasa, Madalitso; Cocker, Derek; Rimella, Lorenzo; Amos, Stevie; Feasey, Nicholas; Morse, Tracy
Approximating optimal SMC proposal distributions in individual-based epidemic models
2023-01-01 Rimella, Lorenzo; Jewell, Christopher; Fearnhead, Paul
Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods
2023-01-01 Whitehouse, Michael; Whiteley, Nick; Rimella, Lorenzo
Inference on extended-spectrum beta-lactamase Escherichia coli and Klebsiella pneumoniae data through SMC2
2023-01-01 Rimella, Lorenzo; Alderton, S.; Sammarro, M.; Rowlingson, B.; Cocker, D.; Feasey, N.; Fearnhead, P.; Jewell, C.
Exploiting locality in high-dimensional Factorial hidden Markov models
2022-01-01 Rimella, Lorenzo; Whiteley, Nick
High-dimensional Hidden Markov Models. Methodology, computational issues, solutions and applications
2021-01-01 Rimella, Lorenzo
Inference in Stochastic Epidemic Models via Multinomial Approximations
2021-01-01 Whiteley, Nick; Rimella, Lorenzo
| Data di pubblicazione | Titolo | Autore/i | Tipologia | Documento allegato |
|---|---|---|---|---|
| 1-gen-2025 | [Correction to:] Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods | Whitehouse, Michael; Whiteley, Nick; Rimella, Lorenzo | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
| 1-gen-2025 | Disclosure risk assessment with Bayesian non-parametric hierarchical modelling | Battiston, Marco; Rimella, Lorenzo | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
| 1-gen-2025 | Empirical Bayes for the Ridge Penalty in Probit Models | Fasano, Augusto; Rebaudo, Giovanni; Rimella, Lorenzo | 1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations | |
| 1-gen-2025 | Hidden Markov Neural Networks | Rimella, Lorenzo; Whiteley, Nick | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
| 1-gen-2025 | Machine learning method for As-Is tunnel information model reconstruction | Rimella, Nicola; Rimella, Lorenzo; Osello, Anna | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
| 1-gen-2025 | Simulation based composite likelihood | Rimella, Lorenzo; Jewell, Chris; Fearnhead, Paul | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
| 1-lug-2025 | Whitehouse, Whiteley, and Rimella's contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al | Whitehouse, Michael; Whiteley, Nick; Rimella, Lorenzo | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
| 1-gen-2024 | A state-space perspective on modelling and inference for online skill rating | Duffield, Samuel; Power, Samuel; Rimella, Lorenzo | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
| 1-gen-2024 | Key environmental exposure pathways to antimicrobial resistant bacteria in southern Malawi: A SaniPath approach | Mwapasa, Taonga; Chidziwisano, Kondwani; Mphasa, Madalitso; Cocker, Derek; Rimella, Lorenzo; Amos, Stevie; Feasey, Nicholas; Morse, Tracy | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
| 1-gen-2023 | Approximating optimal SMC proposal distributions in individual-based epidemic models | Rimella, Lorenzo; Jewell, Christopher; Fearnhead, Paul | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
| 1-gen-2023 | Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods | Whitehouse, Michael; Whiteley, Nick; Rimella, Lorenzo | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
| 1-gen-2023 | Inference on extended-spectrum beta-lactamase Escherichia coli and Klebsiella pneumoniae data through SMC2 | Rimella, Lorenzo; Alderton, S.; Sammarro, M.; Rowlingson, B.; Cocker, D.; Feasey, N.; Fearnhead, P.; Jewell, C. | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
| 1-gen-2022 | Exploiting locality in high-dimensional Factorial hidden Markov models | Rimella, Lorenzo; Whiteley, Nick | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
| 1-gen-2021 | High-dimensional Hidden Markov Models. Methodology, computational issues, solutions and applications | Rimella, Lorenzo | 1.7 Altre tipologie - Other research outputs::1.7.13 Altro - Other research outputs | |
| 1-gen-2021 | Inference in Stochastic Epidemic Models via Multinomial Approximations | Whiteley, Nick; Rimella, Lorenzo | 1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations |