Articles with public access mandates - Frederi ViensLearn more
Not available anywhere: 1
Discussion on temperature reconstruction with sediment core data in Ilvonen et al.
B Li, L Barboza, M Tingley, F Viens
Environmetrics 27 (7), 428-430, 2016
Mandates: US National Science Foundation, US National Aeronautics and Space Administration
Available somewhere: 25
Bayesian approach to model-based extrapolation of nuclear observables
L Neufcourt, Y Cao, W Nazarewicz, F Viens
Physical Review C 98 (3), 034318, 2018
Mandates: US Department of Energy
Neutron drip line in the Ca region from Bayesian model averaging
L Neufcourt, Y Cao, W Nazarewicz, E Olsen, F Viens
Physical review letters 122 (6), 062502, 2019
Mandates: US Department of Energy
Get on the BAND wagon: a Bayesian framework for quantifying model uncertainties in nuclear dynamics
DR Phillips, RJ Furnstahl, U Heinz, T Maiti, W Nazarewicz, FM Nunes, ...
Journal of Physics G: Nuclear and Particle Physics 48 (7), 072001, 2021
Mandates: US National Science Foundation, US Department of Energy
R&D spending, knowledge capital, and agricultural productivity growth: A Bayesian approach
ULC Baldos, FG Viens, TW Hertel, KO Fuglie
American Journal of Agricultural Economics 101 (1), 291-310, 2019
Mandates: US Department of Agriculture
Robust optimal strategies for an insurer with reinsurance and investment under benchmark and mean-variance criteria
B Yi, F Viens, Z Li, Y Zeng
Scandinavian Actuarial Journal 2015 (8), 725-751, 2015
Mandates: National Natural Science Foundation of China
A martingale approach for fractional Brownian motions and related path dependent PDEs
F Viens, J Zhang
The Annals of Applied Probability 29 (6), 3489-3540, 2019
Mandates: US National Science Foundation
Optimal robust reinsurance-investment strategies for insurers with mean reversion and mispricing
A Gu, FG Viens, H Yao
Insurance: Mathematics and Economics 80, 93-109, 2018
Mandates: US National Science Foundation, National Natural Science Foundation of China
Optimal rates for parameter estimation of stationary Gaussian processes
K Es-Sebaiy, FG Viens
Stochastic Processes and their Applications 129 (9), 3018-3054, 2019
Mandates: US National Science Foundation
Dynamic portfolio selection with mispricing and model ambiguity
B Yi, F Viens, B Law, Z Li
Annals of Finance 11, 37-75, 2015
Mandates: National Natural Science Foundation of China
Optimal reinsurance and investment strategies for insurers with mispricing and model ambiguity
A Gu, FG Viens, B Yi
Insurance: Mathematics and Economics 72, 235-249, 2017
Mandates: National Natural Science Foundation of China
Towards precise and accurate calculations of neutrinoless double-beta decay
V Cirigliano, Z Davoudi, J Engel, RJ Furnstahl, G Hagen, U Heinz, ...
Journal of Physics G: Nuclear and Particle Physics 49 (12), 120502, 2022
Mandates: US National Science Foundation, US Department of Energy
Optimal excess-of-loss reinsurance contract with ambiguity aversion in the principal-agent model
A Gu, FG Viens, Y Shen
Scandinavian Actuarial Journal 2020 (4), 342-375, 2020
Mandates: Natural Sciences and Engineering Research Council of Canada, National …
Extreme-strike asymptotics for general Gaussian stochastic volatility models
A Gulisashvili, F Viens, X Zhang
Annals of Finance 15 (1), 59-101, 2019
Mandates: US National Science Foundation
Bayes goes fast: Uncertainty quantification for a covariant energy density functional emulated by the reduced basis method
P Giuliani, K Godbey, E Bonilla, F Viens, J Piekarewicz
Frontiers in Physics 10, 1054524, 2023
Mandates: US National Science Foundation, US Department of Energy
A Bayesian analysis of longitudinal farm surveys in Central Malawi reveals yield determinants and site-specific management strategies
H Wang, SS Snapp, M Fisher, F Viens
Plos one 14 (8), e0219296, 2019
Mandates: US Agency for International Development
Optimal reinsurance pricing with ambiguity aversion and relative performance concerns in the principal-agent model
A Gu, S Chen, Z Li, FG Viens
Scandinavian Actuarial Journal 2022 (9), 749-774, 2022
Mandates: National Natural Science Foundation of China
Donsker type theorem for fractional Poisson process
H Araya, N Bahamonde, S Torres, F Viens
Statistics & Probability Letters 150, 1-8, 2019
Mandates: US National Science Foundation
Risk, crop yields, and weather index insurance in village India
JD Michler, FG Viens, GE Shively
Journal of the Agricultural and Applied Economics Association 1 (1), 61-81, 2022
Mandates: US National Science Foundation
A Bayesian approach to understand controls on total and labile soil carbon in cultivated soils of central and southern Malawi
X Tu, S Snapp, F Viens
Geoderma 413, 115746, 2022
Mandates: US Agency for International Development
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