Results 141 to 150 of about 21,776,804 (321)
For subject i, we monitor an event that can occur multiple times over a random observation window [0, τi). At each recurrence, p concomitant variables, xi, associated to the event recurrence are recorded—a subset (q≤p) of which is measured with errors ...
Ravinath Alahakoon +3 more
doaj +1 more source
Robustness of Phylogenetic Inference to Model Misspecification Caused by Pairwise Epistasis. [PDF]
Magee AF, Hilton SK, DeWitt WS.
europepmc +1 more source
Certainty equivalence and model uncertainty [PDF]
Simon’s and Theil’s certainty equivalence property justifies a convenient algorithm for solving dynamic programming problems with quadratic objectives and linear transition laws: first, optimize under perfect foresight, then substitute optimal forecasts ...
Lars Peter Hansen, Thomas J. Sargent
core
Equilibrium Asset Pricing with Time-Varying Pessimism [PDF]
capital asset pricing;general equilibrium;uncertainty;financial risk;model misspecification;Knightian uncertainty;first order risk ...
Sbuelz, A., Trojani, F.
core +1 more source
ABSTRACT This study applied multidimensional scaling (MDS) to the Cognitive Assessment System‐Second Edition (CAS2) to investigate the structural validity of PASS theory (Planning, Attention, Simultaneous, Successive) across two age groups (5−7, 8−18 years) in the normative sample (N = 1342).
Ryan J. McGill
wiley +1 more source
Impact of model misspecification on model-based tests in PK studies with parallel design: real case and simulation studies. [PDF]
Guhl M +13 more
europepmc +1 more source
Biodiversity is threatened by human activities, with extinction debt accumulating rapidly. Many of these activities change the connectivity of populations, fragmenting existing population systems or bringing previously isolated populations or species into contact.
Zhiqin Long +7 more
wiley +1 more source
Simulation-based inference (SBI) offers a principled and flexible framework for conducting Bayesian inference in any situation where forward simulations are feasible.
James Alvey +2 more
doaj +1 more source
Undersmoothing Causal Estimators With Generative Trees
Average causal effects are averages of (heterogeneous) individual treatment effects (ITEs) taken over the entire target population. The estimation of average causal effects has been studied in depth, but averages are insufficient for more individualised ...
Damian Machlanski +2 more
doaj +1 more source
Quantification of model risk that is caused by model misspecification. [PDF]
Seitshiro MB, Mashele HP.
europepmc +1 more source

