Results 131 to 140 of about 77,552 (290)

Model Misspecification [PDF]

, 2015
Moosa, I., Burns, Kelly
openaire   +2 more sources

The impact of physical activity on psychological distress in young people: An analysis of longitudinal data from the Millennium Cohort Study using causal machine learning

JCPP Advances, EarlyView.
Using causal machine learning, we estimated the causal effect of meeting government guidelines on physical activity on psychological distress in young people. Whilst observing no overall impact, we did identify some groups who benefit relatively more from meeting the physical activity guidelines, including males.
Lewis W. Paton, Noemi Kreif, Lauren M. E. Aylott, Philip Kerrigan, Clau Nader, Lina Gega, Paul A. Tiffin   +6 more
wiley   +1 more source

Testing Multiplicative Error Models Using Conditional Moment Tests [PDF]

We suggest a robust form of conditional moment test as a constructive test for func- tional misspecification in multiplicative error models. The proposed test has power solely against violations of the conditional mean restriction but is not affected by ...
Nikolaus Hautsch
core  

Corticosterone and Mitochondrial Efficiency Are Associated With Changes in DNA Oxidative Damage During an Acute Stress Response in Leach's Storm‐Petrels (Hydrobates leucorhous)

Journal of Experimental Zoology Part A: Ecological and Integrative Physiology, EarlyView.
ABSTRACT The ability of organisms to effectively respond to challenges is critical for survival. We investigated how an acute stressor affected corticosterone, mitochondrial function, and DNA oxidative damage in a wild population of Leach's storm‐petrels (Hydrobates leucorhous).
Kayla E. Lichtner, Jack K. Dziubek, Nicole A. Joseph, Sarah E. Chapman, Tori J. Chace, Dongxiao Sun, Zachary T. Bitzer, Antoine Stier, Robert A. Mauck, Patricia L. Jones, Mark F. Haussmann   +10 more
wiley   +1 more source

Undersmoothing Causal Estimators With Generative Trees

IEEE Access
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, Spyridon Samothrakis, Paul Clarke   +2 more
doaj   +1 more source

Quantification of model risk that is caused by model misspecification. [PDF]

J Appl Stat, 2022
Seitshiro MB, Mashele HP.
europepmc   +1 more source

Hidden Markov Quantile Models With Trends for Analysing Air Temperature Data

International Journal of Climatology, EarlyView.
There is the question of whether climate change, expressed by time‐trends in temperature, is of a heterogeneous nature or not. Here, the time‐trend heterogeneity argument has been investigated using Hidden Markov (HM) quantile time‐trends models in temperature time series.
Georgios Tsiotas, Athanassios Argiriou, Anna Mamara   +2 more
wiley   +1 more source

Impact of model misspecification on model-based tests in PK studies with parallel design: real case and simulation studies. [PDF]

J Pharmacokinet Pharmacodyn, 2022
Guhl M, Mercier F, Hofmann C, Sharan S, Donnelly M, Feng K, Sun W, Sun G, Grosser S, Zhao L, Fang L, Mentré F, Comets E, Bertrand J.   +13 more
europepmc   +1 more source

Errors in recorded security prices and the turn-of-the year effect [PDF]

A study that concludes recorded security price errors are potential sources of misspecification in joint tests of the capital asset pricing model and market efficiency.Stock ...
James B. Thomson
core  

How Do Investors React to Supplier Exploitation? Event Study and Experimental Evidence

Journal of Operations Management, EarlyView.
ABSTRACT Supplier exploitation, including financial squeezing, payment delays, and non‐contractual demands, is a pervasive form of corporate misconduct. This multi‐method study examines how investors interpret supplier exploitation amid competing ethical and financial considerations.
Seongtae Kim, Sangho Chae, Han Kyul Oh
wiley   +1 more source