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Large-network travel time distribution estimation for ambulances
Westgate, Bradfprd S.
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Woodard, Dawn B.
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Matteson, David S.
- In:
European journal of operational research : EJOR
252
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2016
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1
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pp. 322-333
Persistent link: https://www.econbiz.de/10011449499
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Functional autoregression for sparsely sampled data
Kowal, Daniel R.
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Matteson, David S.
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Ruppert, David
- In:
Journal of business & economic statistics : JBES ; a …
37
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2019
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1
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pp. 97-109
Persistent link: https://www.econbiz.de/10012176502
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Statistical inference for multivariate nonlinear time series
Matteson, David S.
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2008
Persistent link: https://www.econbiz.de/10011573342
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Predicting poverty and malnutrition for targeting, mapping, monitoring, and early warning
McBride, Linden
;
Barrett, Christopher B.
;
Browne, …
- In:
Applied economic perspectives and policy
44
(
2022
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2
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pp. 879-892
Persistent link: https://www.econbiz.de/10013274051
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Predicting poverty with vegetation index
Tang, Binh
;
Liu, Yanyan
;
Matteson, David S.
- In:
Applied economic perspectives and policy
44
(
2022
)
$m6
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pp. 930-945
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Comparing trained and untrained probabilistic ensemble forecasts of COVID-19 cases and deaths in the United States
Ray, Evan L.
;
Brooks, Logan C.
;
Bien, Jacob
; …
- In:
International journal of forecasting
39
(
2023
)
3
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pp. 1366-1383
Persistent link: https://www.econbiz.de/10014465288
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Dynamic shrinkage processes
Kowal, Daniel R.
;
Matteson, David S.
;
Ruppert, David
- In:
Journal of the Royal Statistical Society: Series B …
81
(
2019
)
4
,
pp. 781-804
Persistent link: https://www.econbiz.de/10012097307
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Predicting poverty and malnutrition for targeting, mapping, monitoring, and early warning
McBride, Linden
;
Barrett, Christopher B.
;
Browne, …
- In:
Applied Economic Perspectives and Policy
44
(
2021
)
2
,
pp. 879-892
Persistent link: https://www.econbiz.de/10012632247
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Predicting poverty with vegetation index
Tang, Binh
;
Liu, Yanyan
;
Matteson, David S.
- In:
Applied Economic Perspectives and Policy
44
(
2021
)
2
,
pp. 930-945
Persistent link: https://www.econbiz.de/10012808108
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