Results 11 to 20 of about 607,887 (313)

A replication of “A quasi-maximum likelihood approach for large, approximate dynamic factor models” (Review of Economics and Statistics, 2012) [PDF]

open access: goldEconomics: Journal Articles, 2020
The authors replicate and extend the Monte Carlo experiment presented in Doz, Giannone and Reichlin (A Quasi-Maximum Likelihood Approach For Large, Approximate Dynamic Factor Models, Review of Economics and Statistics, 2012) on alternative (time-domain ...
Lucchetti Riccardo, Venetis Ioannis A.
doaj   +4 more sources

Probabilistic model based on circular statistics for quantifying coverage depth dynamics originating from DNA replication [PDF]

open access: goldPeerJ, 2020
Background With the development of DNA sequencing technology, static omics profiling in microbial communities, such as taxonomic and functional gene composition determination, has become possible.
Shinya Suzuki, Takuji Yamada
doaj   +3 more sources

Statistics in Service of Metascience: Measuring Replication Distance with Reproducibility Rate [PDF]

open access: goldEntropy
Motivated by the recent putative reproducibility crisis, we discuss the relationship between the replicability of scientific studies, the reproducibility of results obtained in these replications, and the philosophy of statistics. Our approach focuses on
Erkan O. Buzbas, Berna Devezer
doaj   +2 more sources

Inferential statistics as descriptive statistics: there is no replication crisis if we don't expect replication

open access: goldThe American Statistician, 2018
Statistical inference often fails to replicate. One reason is that many results may be selected for drawing inference because some threshold of a statistic like the P-value was crossed, leading to biased reported effect sizes.
Valentin Amrhein   +2 more
  +6 more sources

Improving transparency and replication in Bayesian statistics: The WAMBS-Checklist.

open access: greenPsychological Methods, 2015
Bayesian statistical methods are slowly creeping into all fields of science and are becoming ever more popular in applied research. Although it is very attractive to use Bayesian statistics, our personal experience has led us to believe that naively applying Bayesian methods can be dangerous for at least 3 main reasons: the potential influence of ...
Sarah Depaoli, Rens van de Schoot
openalex   +4 more sources

Replicability in High Dimensional Statistics [PDF]

open access: green2024 IEEE 65th Annual Symposium on Foundations of Computer Science (FOCS)
119 ...
Max Hopkins   +4 more
openalex   +4 more sources

Relationship Between Migraine and Alzheimer's Disease: A Study of Mendelian Randomization [PDF]

open access: yesBrain and Behavior
Background Given inconsistent evidence regarding the migraine‐Alzheimer's disease association, this Mendelian randomization (MR) study examines their potential causal relationship. Methods GWAS summary statistics for migraine and Alzheimer's disease were
Ran Bi   +9 more
doaj   +2 more sources

Editors’ preface: statistics, replications and null results [PDF]

open access: bronzeJournal of the Economic Science Association, 2015
Nikos Nikiforakis, Robert Slonim
openalex   +2 more sources

Statistical methods for replicability assessment [PDF]

open access: yesThe Annals of Applied Statistics, 2020
Large-scale replication studies like the Reproducibility Project: Psychology (RP:P) provide invaluable systematic data on scientific replicability, but most analyses and interpretations of the data fail to agree on the definition of "replicability" and disentangle the inexorable consequences of known selection bias from competing explanations.
Hung, Kenneth, Fithian, William
openaire   +3 more sources

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