Results 261 to 270 of about 21,776,804 (321)

Doubly Robust Estimation of Marginal Cumulative Incidence Curves for Competing Risk Analysis. [PDF]

Stat Med
van Hage P, le Cessie S, van Maaren MC, Putter H, van Geloven N.   +4 more
europepmc   +1 more source

A-calibration: assessment of prediction models for survival data under censoring. [PDF]

BMC Med Res Methodol
Simonsen MR, Waagepetersen RP.
europepmc   +1 more source

Calibrated Ecosystem Models Cannot Predict the Consequences of Conservation Management Decisions-Clarification. [PDF]

Ecol Lett
Lubiana Botelho L, Jeynes-Smith C, Vollert SA, Bode M.   +3 more
europepmc   +1 more source

Analysis of Stepped-Wedge Cluster Randomized Trials When Treatment Effects Vary by Exposure Time or Calendar Time. [PDF]

Stat Med
Lee KM, Turner EL, Kenny A.
europepmc   +1 more source

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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

Reducing Model Misspecification and Bias in the Estimation of Interactions

Political Analysis, 2021
Analyzing variation in treatment effects across subsets of the population is an important way for social scientists to evaluate theoretical arguments.
M. Blackwell, Michael Olson
semanticscholar   +1 more source

Online Ordinal Optimization under Model Misspecification

, 2021
We consider an ordinal optimization problem, where a decision maker learns the statistical characteristics of a number of systems using sequential sampling in order to ultimately determine the "best" one (with high probability). In so doing, the decision
Dohyun Ahn, Dongwook Shin, A. Zeevi
semanticscholar   +1 more source

Model Misspecification and Underdiversification

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   +2 more sources

Position Estimation under Model Misspecification

2017 IEEE 86th Vehicular Technology Conference (VTC-Fall), 2017
When time-based radio range measurements between network nodes are perturbed by a line-of-sight blocking obstacle, position estimation accuracy degrades significantly. The perturbation is caused by multipath propagation or excess delays since waves travel at slower speed while piercing the obstacles.
Mendrzik, Rico, Bauch, Gerhard
openaire   +1 more source