Wiley series in probability and statistics
[1st ed.] xviii, 451 s., vzorce
2nd ed. xxvi, 488 s.
- Conspectus
- Přírodní vědy. Matematické vědy
- NML Fields
- statistika, zdravotnická statistika
- přírodní vědy
- biologie
... He is also Head of the Statistics Laboratory at the Center for Research in Economics and Statistics ( ... ... He has served as associate editor for the Annals of Statistics and the Journal of the American Statistical ... ... and Executive Editor of Statistical Science. ... ... He has authored three other textbooks: Statistical Inference, Second Edition, 2001, with Roger L. ... ... He is a fellow of the Institute of Mathematical Statistics and the American Statistical Association, ...
Springer texts in statistics
2nd ed. xxx, 645 s., grafy
... and Terminology 12 -- 1.2.2 Bayesian Networks 13 -- 1.2.3 The úr-Separation Criterion 16 -- 1.2.4 Inference ... ... Terminology 38 -- 2 A Theory of Inferred Causation 41 -- 2.1 Introduction - The Basic Intuitions 42 ... ... Causal Relations 54 -- 2.8 Nontemporal Causation and Statistical Time 57 -- 2.9 Conclusions 59 -- 2.9.1 ... ... Rules 85 -- 3.4.3 Symbolic Derivation of Causal Effects: An Example 86 -- 3.4.4 Causal Inference by ... ... , and Graphical Vocabulary 331 -- 11.1.1 Is the Causal-Statistical Dichotomy Necessary? ...
1st ed. xii, 384 s.
- MeSH
- Causality MeSH
- Probability MeSH
- Conspectus
- Přírodní vědy. Matematické vědy
- NML Fields
- přírodní vědy
- statistika, zdravotnická statistika
Identifying when hominins first produced Lomekwian, Oldowan, and Acheulean technologies is vital to multiple avenues of human origins research. Yet, like most archaeological endeavors, our understanding is currently only as accurate as the artifacts recovered and the sites identified. Here we use optimal linear estimation (OLE) modelling to identify the portion of the archaeological record not yet discovered, and statistically infer the date of origin of the earliest flaked stone technologies. These models provide the most accurate framework yet for understanding when hominins first produced these tool types. Our results estimate the Oldowan to have originated 2.617 to 2.644 Ma, 36,000 to 63,000 years earlier than current evidence. The Acheulean's origin is pushed back further through OLE, by at least 55,000 years to 1.815 to 1.823 Ma. We were unable to infer the Lomekwian's date of origin using OLE, but an upper bound of 5.1 million years can be inferred using alternative nonparametric techniques. These dates provide a new chronological foundation from which to understand the emergence of the first flaked stone technologies, alongside their behavioral and evolutionary implications. Moreover, they suggest there to be substantial portions of the artifact record yet to be discovered.
We argue that statistical practice in the social and behavioural sciences benefits from transparency, a fair acknowledgement of uncertainty and openness to alternative interpretations. Here, to promote such a practice, we recommend seven concrete statistical procedures: (1) visualizing data; (2) quantifying inferential uncertainty; (3) assessing data preprocessing choices; (4) reporting multiple models; (5) involving multiple analysts; (6) interpreting results modestly; and (7) sharing data and code. We discuss their benefits and limitations, and provide guidelines for adoption. Each of the seven procedures finds inspiration in Merton's ethos of science as reflected in the norms of communalism, universalism, disinterestedness and organized scepticism. We believe that these ethical considerations-as well as their statistical consequences-establish common ground among data analysts, despite continuing disagreements about the foundations of statistical inference.
- MeSH
- Data Interpretation, Statistical MeSH
- Humans MeSH
- Uncertainty MeSH
- Information Dissemination MeSH
- Models, Statistical MeSH
- Statistics as Topic * methods standards MeSH
- Research Design standards MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Review MeSH
Springer texts in statistics
[1st ed.] xxi, 507 s., grafy
BACKGROUND: All currently available methods of network/association inference from microarray gene expression measurements implicitly assume that such measurements represent the actual expression levels of different genes within each cell included in the biological sample under study. Contrary to this common belief, modern microarray technology produces signals aggregated over a random number of individual cells, a "nitty-gritty" aspect of such arrays, thereby causing a random effect that distorts the correlation structure of intra-cellular gene expression levels. RESULTS: This paper provides a theoretical consideration of the random effect of signal aggregation and its implications for correlation analysis and network inference. An attempt is made to quantitatively assess the magnitude of this effect from real data. Some preliminary ideas are offered to mitigate the consequences of random signal aggregation in the analysis of gene expression data. CONCLUSION: Resulting from the summation of expression intensities over a random number of individual cells, the observed signals may not adequately reflect the true dependence structure of intra-cellular gene expression levels needed as a source of information for network reconstruction. Whether the reported effect is extrime or not, the important point, is to reconize and incorporate such signal source for proper inference. The usefulness of inference on genetic regulatory structures from microarray data depends critically on the ability of investigators to overcome this obstacle in a scientifically sound way. REVIEWERS: This article was reviewed by Byung Soo KIM, Jeanne Kowalski and Geoff McLachlan.
- MeSH
- Humans MeSH
- Models, Genetic MeSH
- Statistics, Nonparametric MeSH
- Oligonucleotide Array Sequence Analysis methods statistics & numerical data MeSH
- Gene Expression Profiling methods statistics & numerical data MeSH
- Computational Biology methods statistics & numerical data MeSH
- Animals MeSH
- Check Tag
- Humans MeSH
- Animals MeSH
- Publication type
- Research Support, Non-U.S. Gov't MeSH
- Review MeSH
- Research Support, N.I.H., Extramural MeSH
