Results 91 to 100 of about 766,215 (314)

Uncertainty-Aware Model Training and Decision Making

, 2020
As the primary contributions of this thesis, the current state-of-the-art uncertainty quantification techniques for medical classification problems are reviewed comprehensively.
Roohallah Alizadehsani (6445298)
core  

Uncertainty and economic growth in a stochastic R&D model

, 2008
The paper examines an R&D model with uncertainty from the population growth, which is a stochastic cooperative Lotka-Volterra system, and obtains a suciently condition for the existence of the globally positive solution.
Wu, F., Wu, Fuke, Mao, X., Mao, Xuerong, Yin, J., Yin, Juliang   +5 more
core   +1 more source

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

FEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 more
wiley   +1 more source

A dynamic migration model with uncertainty [PDF]

Journal of Economic Dynamics and Control, 1994
Submitted - sswp843 ...
openaire   +6 more sources

Assessing parameter uncertainty on coupled models using minimum information methods [PDF]

, 2014
Probabilistic inversion is used to take expert uncertainty assessments about observable model outputs and build from them a distribution on the model parameters that captures the uncertainty expressed by the experts.
Alireza Daneshkhah, Wilson, Kevin J., Kevin J. Wilson, Daneshkhah, Alireza, Bedford, Tim, Tim Bedford, Wilson, Kevin   +6 more
core   +1 more source

Screening and epitope characterization of Nidogen‐2‐specific nanobodies

FEBS Open Bio, EarlyView.
Camel immunization and phage display were employed to generate high‐affinity VHH nanobodies against Nidogen‐2. After library construction, biopanning, ELISA screening, sequencing, and recombinant expression, selected nanobodies were purified and characterized, leading to the preliminary exploration of a nanobody‐based sandwich ELISA for specific ...
Jianchuan Wen, Qianqian Cui, Zhongyun Lan, Yingjun Wang, Shuaiying Zhao, Wenxuan Feng, Yunfeng Liu, Qiting Huang, Dongna Zhang, Jianfeng Xu   +9 more
wiley   +1 more source

Quantifying Correlation Uncertainty Risk in Credit Derivatives Pricing

International Journal of Financial Studies, 2018
We propose a simple but practical methodology for the quantification of correlation risk in the context of credit derivatives pricing and credit valuation adjustment (CVA), where the correlation between rates and credit is often uncertain or unmodelled ...
Colin Turfus
doaj   +1 more source

Sharing Model Uncertainty

American Economic Journal: Microeconomics
This paper examines efficient allocations in economies where consumers exhibit heterogeneous smooth ambiguity preferences and face model uncertainty with a common set of identifiable models. Aggregate endowment is ambiguous. We characterize economies where the representative consumer is of the smooth ambiguity type and derive efficient sharing rules ...
Hara, Chiaki, Mukerji, Sujoy, Riedel, Frank, Tallon, Jean-Marc   +3 more
openaire   +3 more sources

Combined 5‐aminolevulinic acid and ferric ammonium citrate treatment promotes hair follicle growth by activating dermal papilla cells

FEBS Open Bio, EarlyView.
5‐Aminolevulinic acid combined with ferric ammonium citrate (5‐ALA/FAC) stimulates dermal papilla cell activity and promotes hair follicle growth. The treatment enhances ERK and AKT signaling, increases hair‐inductive gene expression, and restores dermal papilla function suppressed by dihydrotestosterone and oxidative stress, resulting in enhanced hair
Han‐Wook Ryu, Eok‐Soo Oh, Sewoon Kim
wiley   +1 more source

Robust Control: A Note on the Timing of Model Uncertainty [PDF]

In this note a one-state, one-control variable quadratic linear problem with robust control and discount factor is developed to examine the optimal response of the first-period control to changes in future model uncertainty.
Arnulfo Rodriguez
core