Effective Dimensionality: A Tutorial
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[1] L. Jost. Entropy and diversity , 2006 .
[2] David V Budescu,et al. How to measure diversity when you must. , 2012, Psychological methods.
[3] Trevor Hastie,et al. An Introduction to Statistical Learning , 2013, Springer Texts in Statistics.
[4] Gil Alterovitz,et al. Is the reduction of dimensionality to a small number of features always necessary in constructing predictive models for analysis of complex diseases or behaviours? , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[5] Ilker Yalcin,et al. Nonlinear Factor Analysis as a Statistical Method , 2001 .
[6] J. Li,et al. Adjusting multiple testing in multilocus analyses using the eigenvalues of a correlation matrix , 2005, Heredity.
[7] Daniel M. McNeish,et al. Psychological Methods Thanks Coefficient Alpha , We ’ ll Take It From Here , 2022 .
[8] Donald A. Jackson,et al. How many principal components? stopping rules for determining the number of non-trivial axes revisited , 2005, Comput. Stat. Data Anal..
[9] N. Higham. Computing the nearest correlation matrix—a problem from finance , 2002 .
[10] Ata Kabán,et al. When is 'nearest neighbour' meaningful: A converse theorem and implications , 2009, J. Complex..
[11] P. Costa,et al. Normal Personality Assessment in Clinical Practice: The NEO Personality Inventory. , 1992 .
[12] M. Hill. Diversity and Evenness: A Unifying Notation and Its Consequences , 1973 .
[13] M. Gurven,et al. What Explains Personality Covariation? A Test of the Socioecological Complexity Hypothesis , 2017 .
[14] Minimum Entropy as a Measure of Effective Dimensionality , 2016 .
[15] Seungmin Jahng,et al. Determining the number of factors using parallel analysis and its recent variants. , 2019, Psychological methods.
[16] K. A. Remley,et al. Reverberation Chamber Measurement Correlation , 2012, IEEE Transactions on Electromagnetic Compatibility.
[17] William Revelle,et al. Cronbach’s α, Revelle’s β, and Mcdonald’s ωH: their relations with each other and two alternative conceptualizations of reliability , 2005 .
[18] Hans-Peter Kriegel,et al. A survey on unsupervised outlier detection in high‐dimensional numerical data , 2012, Stat. Anal. Data Min..
[19] Jordan B Peterson,et al. Between facets and domains: 10 aspects of the Big Five. , 2007, Journal of personality and social psychology.
[20] Alessandro Laio,et al. Estimating the intrinsic dimension of datasets by a minimal neighborhood information , 2017, Scientific Reports.
[21] J. Heckman,et al. Bayesian Exploratory Factor Analysis , 2014, Journal of econometrics.
[22] Michael Wolf,et al. Spectrum Estimation: A Unified Framework for Covariance Matrix Estimation and PCA in Large Dimensions , 2013, J. Multivar. Anal..
[23] Andrzej Cichocki,et al. Bayesian estimation of the number of principal components , 2006, 2006 14th European Signal Processing Conference.
[24] M. Kirkpatrick. Patterns of quantitative genetic variation in multiple dimensions , 2009, Genetica.
[25] J. Berge,et al. Least-squares approximation of an improper correlation matrix by a proper one , 1989 .
[26] P. Campadelli,et al. Intrinsic Dimension Estimation: Relevant Techniques and a Benchmark Framework , 2015 .
[27] Martin Krzywinski,et al. Points of Significance: Regularization , 2016, Nature Methods.
[28] A. Goriely,et al. Component retention in principal component analysis with application to cDNA microarray data , 2007, Biology Direct.
[29] J. Cheverud,et al. A simple correction for multiple comparisons in interval mapping genome scans , 2001, Heredity.
[30] Wijnand A.P. van Tilburg. It's not unusual to be unusual (or: A different take on multivariate distributions of personality) , 2019, Personality and Individual Differences.
[31] Martin Krzywinski,et al. The curse(s) of dimensionality , 2018, Nature Methods.
[32] Hans-Peter Kriegel,et al. Can Shared-Neighbor Distances Defeat the Curse of Dimensionality? , 2010, SSDBM.
[33] Sacha Epskamp,et al. Exploratory graph analysis: A new approach for estimating the number of dimensions in psychological research , 2017, PloS one.
[34] Eric O. Postma,et al. Dimensionality Reduction: A Comparative Review , 2008 .
[35] Fritz Drasgow,et al. Polychoric and Polyserial Correlations , 2006 .
[36] Xavier Mestre,et al. Improved Estimation of Eigenvalues and Eigenvectors of Covariance Matrices Using Their Sample Estimates , 2008, IEEE Transactions on Information Theory.
[37] Miguel Á. Carreira-Perpiñán,et al. A Review of Dimension Reduction Techniques , 2009 .
[38] Tim Kaiser. Nature and evoked culture: Sex differences in personality are uniquely correlated with ecological stress , 2019, Personality and Individual Differences.
[39] H. Tuomisto. A diversity of beta diversities: straightening up a concept gone awry. Part 1. Defining beta diversity as a function of alpha and gamma diversity , 2010 .
[40] Anthony J Bishara,et al. Reducing Bias and Error in the Correlation Coefficient Due to Nonnormality , 2015, Educational and psychological measurement.
[41] John A. Johnson. Measuring thirty facets of the Five Factor Model with a 120-item public domain inventory: Development of the IPIP-NEO-120 , 2014 .
[42] Duane T. Wegener,et al. Evaluating the use of exploratory factor analysis in psychological research. , 1999 .
[43] Olivier Ledoit,et al. Nonlinear Shrinkage Estimation of Large-Dimensional Covariance Matrices , 2011, 1207.5322.
[44] Charu C. Aggarwal,et al. On the Surprising Behavior of Distance Metrics in High Dimensional Spaces , 2001, ICDT.
[45] G. Wagner,et al. Pleiotropic scaling of gene effects and the ‘cost of complexity’ , 2008, Nature.
[46] Thomas J. Dunn,et al. From alpha to omega: a practical solution to the pervasive problem of internal consistency estimation. , 2014, British journal of psychology.
[47] Jochen Einbeck,et al. Intrinsic Dimensionality Estimation for High-dimensional Data Sets: New Approaches for the Computation of Correlation Dimension , 2013 .
[48] J. Ruscio,et al. Determining the number of factors to retain in an exploratory factor analysis using comparison data of known factorial structure. , 2012, Psychological assessment.
[49] L. Guttman. Some necessary conditions for common-factor analysis , 1954 .
[50] Martin Vetterli,et al. The effective rank: A measure of effective dimensionality , 2007, 2007 15th European Signal Processing Conference.
[51] Jonathan Goldstein,et al. When Is ''Nearest Neighbor'' Meaningful? , 1999, ICDT.