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Lenzi, Amanda
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1

Neural likelihood surfaces for spatial processes with compu..:

Walchessen, Julia ; Lenzi, Amanda ; Kuusela, Mikael
Spatial Statistics.  62 (2024)  - p. 100848 , 2024
Link: https://doi.org/10.1016/..
 
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2

Automatic cross-validation in structured models: Is it time..:

Adin, Aritz ; Krainski, Elias Teixeira ; Lenzi, Amanda...
Spatial Statistics.  62 (2024)  - p. 100843 , 2024
Link: https://doi.org/10.1016/..
 
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3

Neural networks for parameter estimation in intractable mod..:

Lenzi, Amanda ; Bessac, Julie ; Rudi, Johann.
Computational Statistics & Data Analysis.  185 (2023)  - p. 107762 , 2023
Link: https://doi.org/10.1016/..
 
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4

How can statistics help to prevent blackouts?:

Lenzi, Amanda ; Anitescu, Mihai
Significance.  20 (2023)  1 - p. 24-27 , 2023
Link: https://doi.org/10.1093/..
 
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5

Spatio-Temporal Cross-Covariance Functions under the Lagran..:

Salvaña, Mary Lai O. ; Lenzi, Amanda ; Genton, Marc G.
Journal of the American Statistical Association.  118 (2022)  544 - p. 2746-2761 , 2022
Link: https://doi.org/10.1080/..
 
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6

Detecting Large Frequency Excursions in the Power Grid With..:

Lenzi, Amanda ; Bessac, Julie ; Anitescu, Mihai
IEEE Open Access Journal of Power and Energy.  9 (2022)  - p. 66-75 , 2022
Link: https://doi.org/10.1109/..
 
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7

How Statistics Keeps the Lights on:

Lenzi, Amanda ; Anitescu, Mihai
Significance.  19 (2022)  6 - p. 28-30 , 2022
Link: https://doi.org/10.1111/..
 
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8

Power grid frequency prediction using spatiotemporal modeli..:

Lenzi, Amanda ; Bessac, Julie ; Anitescu, Mihai
Statistical Analysis and Data Mining: The ASA Data Science Journal.  14 (2021)  6 - p. 662-675 , 2021
Link: https://doi.org/10.1002/..
 
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9

Improving Bayesian Local Spatial Models in Large Datasets:

Lenzi, Amanda ; Castruccio, Stefano ; Rue, Håvard.
Journal of Computational and Graphical Statistics.  30 (2020)  2 - p. 349-359 , 2020
Link: https://doi.org/10.1080/..
 
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10

SPATIOTEMPORAL PROBABILISTIC WIND VECTOR FORECASTING OVER S..:

Lenzi, Amanda ; Genton, Marc G.
The Annals of Applied Statistics.  14 (2020)  3 - p. 1359-1378 , 2020
Link: https://www.jstor.org/st..
 
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11

Benefits of spatiotemporal modeling for short‐term wind pow..:

Lenzi, Amanda ; Steinsland, Ingelin ; Pinson, Pierre
Environmetrics.  29 (2018)  3 - p. , 2018
Link: https://doi.org/10.1002/..
 
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12

Very short-term spatio-temporal wind power prediction using..:

Baxevani, Anastassia ; Lenzi, Amanda
Stochastic Environmental Research and Risk Assessment.  32 (2017)  4 - p. 931-948 , 2017
Link: https://doi.org/10.1007/..
 
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13

Spatial models for probabilistic prediction of wind power w..:

Lenzi, Amanda ; Pinson, Pierre ; Clemmensen, Line H..
Stochastic Environmental Research and Risk Assessment.  31 (2016)  7 - p. 1615-1631 , 2016
Link: https://doi.org/10.1007/..
 
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14

Analysis of aggregated functional data from mixed populatio..:

Lenzi, Amanda ; de Souza, Camila P.E. ; Dias, Ronaldo..
Environmetrics.  28 (2016)  2 - p. , 2016
Link: https://doi.org/10.1002/..
 
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15

Towards black-box parameter estimation:

Lenzi, Amanda ; Rue, Haavard
http://arxiv.org/abs/2303.15041.  , 2023
Link: http://arxiv.org/abs/230..
 
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