Results 271 to 280 of about 23,103 (324)

Sampling and processing of climate change information and disinformation across three diverse countries

British Journal of Psychology, EarlyView.
Abstract In the media, accurate climate information and climate disinformation often coexist and present competing narratives about climate change. Whereas previous research documented detrimental effects of disinformation on climate beliefs, little is known about how people seek climate‐related content and how this varies between cross‐cultural ...
Zahra Rahmani Azad, Tobia Spampatti, Sebastian Gluth, Kim‐Pong Tam, Ulf J. J. Hahnel   +4 more
wiley   +1 more source

A Sequential Design for Extreme Quantile Estimation Under Binary Sampling. [PDF]

Entropy (Basel)
Broniatowski M, Miranda E.
europepmc   +1 more source

Examining the Efficacy of Coarsened Exact Matching as an Alternative to Propensity Score Matching. [PDF]

Stat Med
Wan F.
europepmc   +1 more source

Estimating causal effects of rare treatments on binary outcomes: addressing sample size requirements and bias correction. [PDF]

BMC Med Res Methodol
Sanim AI, Rahman MS, Latif MAHM.
europepmc   +1 more source

Robust Estimation of Polychoric Correlation. [PDF]

Psychometrika
Welz M, Mair P, Alfons A.
europepmc   +1 more source

Random-effects psychophysics for studying individual differences in perception and cognition. [PDF]

Psychon Bull Rev
Rouder JN, Mehrvarz M.
europepmc   +1 more source

Model Misspecification and Underdiversification [PDF]

The Journal of Finance, 2001
AbstractIn this paper, we study intertemporal portfolio choice when an investor accounts explicitly for model misspecification. We develop a framework that allows for ambiguity about not just the joint distribution of returns for all stocks in the portfolio, but also for different levels of ambiguity for the marginal distribution of returns for any ...
Uppal, Raman, Wang, Tan
openaire   +3 more sources

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Correcting model misspecification in physics-informed neural networks (PINNs)

Journal of Computational Physics, 2023
Data-driven discovery of governing equations in computational science has emerged as a new paradigm for obtaining accurate physical models and as a possible alternative to theoretical derivations.
Zongren Zou, Xuhui Meng, G. Karniadakis
semanticscholar   +1 more source

The surprising robustness of dynamic Mean-Variance portfolio optimization to model misspecification errors

European Journal of Operational Research, 2021
In single-period portfolio optimization settings, Mean-Variance (MV) optimization can result in notoriously unstable asset allocations due to small changes in the underlying asset parameters. This has resulted in the widespread questioning of whether and
Pieter M. van Staden, D. Dang, P. Forsyth   +2 more
semanticscholar   +1 more source