| Nome |
# |
|
A statistical framework for model based air quality indicators and population risk evaluation, file e40f7b85-6bde-afca-e053-6605fe0aeaf2
|
587
|
|
D-STEM: a software for the analysis and mapping of environmental space-time variables, file e40f7b84-50de-afca-e053-6605fe0aeaf2
|
406
|
|
Geostatistical modelling of spatial potentials, file e40f7b84-07e2-afca-e053-6605fe0aeaf2
|
395
|
|
The dynamic coregionalization model with application to air quality remote sensing, file e40f7b84-07d4-afca-e053-6605fe0aeaf2
|
380
|
|
The impact of the Covid-19 pandemic on Italian mobility, file e40f7b89-097e-afca-e053-6605fe0aeaf2
|
338
|
|
A statistical framework for model based air quality indicators and population risk evaluation, file e40f7b84-2543-afca-e053-6605fe0aeaf2
|
313
|
|
Maximum likelihood estimation of the dynamic coregionalization model with heterotopic data, file e40f7b84-03b9-afca-e053-6605fe0aeaf2
|
300
|
|
Tapering spatio temporal models, file e40f7b84-175a-afca-e053-6605fe0aeaf2
|
287
|
|
A comparison of clustering approaches for the study of the temporal coherence of multiple time series, file e40f7b84-527c-afca-e053-6605fe0aeaf2
|
248
|
|
Integrating satellite and ground level data for air quality monitoring and dynamical mapping, file e40f7b84-026f-afca-e053-6605fe0aeaf2
|
240
|
|
EM estimation of a multivariate space-time data fusion model with varying coefficients, file e40f7b84-103d-afca-e053-6605fe0aeaf2
|
233
|
|
EM estimation of the dynamic coregionalization model with varying coefficients, file e40f7b84-0a41-afca-e053-6605fe0aeaf2
|
204
|
|
Real-time detection of earthquakes through a smartphone-based sensor network, file e40f7b84-c356-afca-e053-6605fe0aeaf2
|
204
|
|
TIES - GRASPA 2017 on Climate and Environment. Book of Abstracts - The 27th Annual Conference of the International Environmetrics Society joint with Biennal GRASPA Confeence, file e40f7b87-db57-afca-e053-6605fe0aeaf2
|
204
|
|
Quantifying personal exposure to air pollution from smartphone-based location data, file e40f7b89-cb43-afca-e053-6605fe0aeaf2
|
196
|
|
A statistical emulator for multivariate model outputs with missing values, file e40f7b88-0a3c-afca-e053-6605fe0aeaf2
|
176
|
|
Kernel-based estimation of individual location densities from smartphone data, file e40f7b88-d0b1-afca-e053-6605fe0aeaf2
|
176
|
|
Spatial modelling for air pollution epidemiology:hospital admission risk for cardio-respiratory diseases in Torino province, file e40f7b84-4c5c-afca-e053-6605fe0aeaf2
|
174
|
|
Earthquake monitoring using volunteer smartphone-based sensor networks, file e40f7b84-5031-afca-e053-6605fe0aeaf2
|
171
|
|
The Earthquake Network project: a platform for earthquake early warning, rapid impact assessment and search and rescue, file e40f7b89-78aa-afca-e053-6605fe0aeaf2
|
142
|
|
Statistical issues in radiosonde observation of atmospheric temperature and humidity profiles, file e40f7b87-c3c0-afca-e053-6605fe0aeaf2
|
134
|
|
Multivariate spatio temporal models for large datasets and joint exposure to airborne multipollutants in Europe, file e40f7b84-c358-afca-e053-6605fe0aeaf2
|
130
|
|
Multivariate hidden dynamic geostatistical model for analysing and mapping air quality data in Apulia, Italy, file e40f7b84-3751-afca-e053-6605fe0aeaf2
|
129
|
|
Empirical modeling of uncertainty in vision systems for industrial robotic applications, file e40f7b84-04e9-afca-e053-6605fe0aeaf2
|
109
|
|
Jointly modelling air quality and meteorological variables using the D-STEM software, file e40f7b84-3819-afca-e053-6605fe0aeaf2
|
105
|
|
Statistical analysis of water policies, air quality and climate in Isfahan, file e40f7b84-5251-afca-e053-6605fe0aeaf2
|
102
|
|
Fulfilling the information need after an earthquake: statistical modelling of citizen science seismic reports for predicting earthquake parameters in near realtime, file e40f7b89-35b0-afca-e053-6605fe0aeaf2
|
95
|
|
Analysis of massive marked point patterns with stochastic partial differential equations, file e40f7b8a-89d6-afca-e053-6605fe0aeaf2
|
85
|
|
Geostatistical modeling in the presence of interaction between the measuring instruments, with an application to the estimation of market potentials, file e40f7b84-f003-afca-e053-6605fe0aeaf2
|
74
|
|
Spatial model for cardio-respiratory diseases hospital admission in Torino province, file e40f7b84-37a2-afca-e053-6605fe0aeaf2
|
69
|
|
Discussion on the meeting on ‘Data visualization’, file e40f7b88-9fe6-afca-e053-6605fe0aeaf2
|
69
|
|
Space-time clustering for identifying population patterns from smartphone data, file e40f7b87-7d12-afca-e053-6605fe0aeaf2
|
66
|
|
A comparison of statistical methods for estimating individual location densities from smartphone data, file e40f7b88-46a5-afca-e053-6605fe0aeaf2
|
63
|
|
Preliminary results on tapering multivariate spatio temporal models for exposure to airborne multipollutants in Europe, file e40f7b85-1a88-afca-e053-6605fe0aeaf2
|
62
|
|
Spatio-temporal Mismatch for Aerosol Profiles, file e40f7b87-682c-afca-e053-6605fe0aeaf2
|
55
|
|
Deriving minimal sea surface temperature monitoring networks from remote sensing data using coherency analysis, file e40f7b84-ef8a-afca-e053-6605fe0aeaf2
|
42
|
|
D-STEM v2: A Software for Modeling Functional Spatio-Temporal Data, file e40f7b8a-93bb-afca-e053-6605fe0aeaf2
|
42
|
|
Efficacy and Usefulness of an Independent Public Earthquake Early Warning System: A Case Study - The Earthquake Network Initiative in Peru, file e40f7b8b-023f-afca-e053-6605fe0aeaf2
|
17
|
|
Il cambiamento degli stili di vita e l’impatto della pandemia di COVID-19 sulla mobilità, file e40f7b89-6ad2-afca-e053-6605fe0aeaf2
|
14
|
|
Analysis of Detections by the Earthquake Network App between 2017-12-15 and 2020-01-31, file e40f7b8a-751b-afca-e053-6605fe0aeaf2
|
14
|
|
A statistical approach to crowdsourced smartphone-based earthquake early warning systems, file e40f7b8a-49ad-afca-e053-6605fe0aeaf2
|
13
|
|
A Questionnaire Survey of the Earthquake Network App's Users in Peru Following an M8 Earthquake in 2019, file e40f7b8a-a487-afca-e053-6605fe0aeaf2
|
12
|
|
Dynamic model-based clustering for spatio-temporal data, file e40f7b8a-45cb-afca-e053-6605fe0aeaf2
|
11
|
|
Electrification pathways of the Italian residential sector under socio-demographic constrains: looking towards 2040, file e40f7b89-8d98-afca-e053-6605fe0aeaf2
|
8
|
|
Replacing discontinued Big Tech mobility reports: a penetration-based analysis, file 95a3bb9b-1b46-4558-b264-21b7659a4b8a
|
4
|
|
Agrimonia: a dataset on livestock, meteorology and air quality in the Lombardy region, Italy, file 5bd2bfd9-4471-4c0c-815a-34ab1116daf0
|
3
|
|
Two-stage Bayesian model to evaluate the effect of air pollution on chronic respiratory diseases using drug prescriptions, file e40f7b85-84f5-afca-e053-6605fe0aeaf2
|
3
|
|
Discussion on the meeting on ‘Data visualization’, file e40f7b88-9801-afca-e053-6605fe0aeaf2
|
3
|
|
A statistical methodology for classifying earthquake detections and for earthquake parameter estimation in smartphone-based earthquake early warning systems, file 38241dd3-f393-4255-9d0c-3bb81a93c83f
|
2
|
|
'Bayesian source detection and parameter estimation of a plume model based on sensor network measurements' by C. Huang et al.: Discussion 1, file 767635d2-e767-4edd-8b18-b1e923d0dccb
|
2
|
|
Utilization of Crowdsourced Felt Reports to Distinguish High‐Impact from Low‐Impact Earthquakes Globally within Minutes of an Event, file d2fa2f50-cc97-4ade-8b54-2d6d8604bdb8
|
2
|
|
Model based distribution of human exposure to airborne particulate matters, file e40f7b84-44ac-afca-e053-6605fe0aeaf2
|
2
|
|
An analysis of temporal and spatial patterns in Italian hospitalization rates for multiple diagnosis, file e40f7b85-a7b5-afca-e053-6605fe0aeaf2
|
2
|
|
A statistical approach to crowdsourced smartphone-based earthquake early warning systems, file e40f7b85-aad1-afca-e053-6605fe0aeaf2
|
2
|
|
European population exposure to airborne pollutants based on a multivariate spatio-temporal model, file e40f7b85-ab0b-afca-e053-6605fe0aeaf2
|
2
|
|
“Shaking in 5 Seconds!”—Performance and User Appreciation Assessment of the Earthquake Network Smartphone‐Based Public Earthquake Early Warning System, file e40f7b8a-6ba1-afca-e053-6605fe0aeaf2
|
2
|
|
A Probabilistic Framework for Modeling the Detection Capability of Smartphone Networks in Earthquake Early Warning, file 785ab7b5-f392-4f7a-a028-00b8fdea375c
|
1
|
|
Assessing the Effect of Air Pollution on Human Health Using Drug Sales Data, file e40f7b84-4c54-afca-e053-6605fe0aeaf2
|
1
|
|
Model Based Spatio-Temporal Analysis and Mapping of Apulia Air Quality Data, file e40f7b84-4d6c-afca-e053-6605fe0aeaf2
|
1
|
|
Maximum likelihood estimation of the multivariate hidden dynamic geostatistical model with application to air quality in Apulia, Italy, file e40f7b84-d3d7-afca-e053-6605fe0aeaf2
|
1
|
|
A novel model-based clustering approach for massive datasets of spatially registered time series. With application to sea surface temperature remote sensing data, file e40f7b84-dc97-afca-e053-6605fe0aeaf2
|
1
|
|
A comparison between the geostatistical potential model and the discrete choice logit models in the estimation of spatial market potentials, file e40f7b84-f4a4-afca-e053-6605fe0aeaf2
|
1
|
|
How a smartphone network detects earthquakes in real time, file e40f7b85-b49c-afca-e053-6605fe0aeaf2
|
1
|
|
The earthquake network project: toward a crowdsourced smartphone‐based earthquake early warning system, file e40f7b85-be8f-afca-e053-6605fe0aeaf2
|
1
|
|
Dynamic model-based clustering for spatio-temporal data, file e40f7b86-153c-afca-e053-6605fe0aeaf2
|
1
|
|
Earthquake Network: un progetto di citizen science per la rilevazione di terremoti in tempo reale, file e40f7b87-82a9-afca-e053-6605fe0aeaf2
|
1
|
|
Statistical harmonization and uncertainty assessment in the comparison of satellite and radiosonde climate variables, file e40f7b88-a307-afca-e053-6605fe0aeaf2
|
1
|
|
Electrification pathways of the Italian residential sector under socio-demographic constrains: looking towards 2040, file e40f7b89-688c-afca-e053-6605fe0aeaf2
|
1
|
|
Analysis of massive marked point patterns with stochastic partial differential equations, file e40f7b8a-abcc-afca-e053-6605fe0aeaf2
|
1
|
| Totale |
6936 |