Inge Koch
#169,888
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Australian statistician
Inge Koch 's AcademicInfluence.com Rankings
Inge Koch mathematics Degrees
Mathematics
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Statistics
#1220
World Rank
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Mathematics
Inge Koch 's Degrees
- Bachelors Statistics University of Melbourne
- PhD Statistics Australian National University
Why Is Inge Koch Influential?
(Suggest an Edit or Addition)According to Wikipedia, Inge Koch is an Australian statistician, author, and advocate for gender diversity in mathematics. Koch is the author of Analysis of Multivariate and High-Dimensional Data , and is a Professor in Statistics at the University of Western Australia. Previously, she has worked as an associate professor at University of Adelaide and taught statistics at the University of New South Wales.
Inge Koch 's Published Works
Published Works
- Feature significance for multivariate kernel density estimation (2008) (97)
- Tests for monotonicity of a regression mean with guaranteed level (2000) (54)
- Analysis of Multivariate and High-Dimensional Data (2013) (38)
- Interpreting variability in global SST data using independent component analysis and principal component analysis (2009) (33)
- On the feasibility of cross-validation in image analysis (1992) (30)
- Dependence maps: Local dependence in practice (2003) (30)
- Robustifying principal component analysis with spatial sign vectors (2012) (29)
- Sparse Principal Component Analysis With Preserved Sparsity Pattern (2019) (28)
- Evaluating the Contributions of Individual Variables to a Quadratic Form (2016) (24)
- Dimension Selection for Feature Selection and Dimension Reduction with Principal and Independent Component Analysis (2007) (17)
- On the asymptotic performance of median smoothers in image analysis and nonparametric regression (1996) (17)
- Efficient feature selection based on independent component analysis (2004) (16)
- Feature subset selection using ICA for classifying emphysema in HRCT images (2004) (16)
- Prediction of multivariate responses with a selected number of principal components (2008) (16)
- Proteomics profiles from mass spectrometry (2014) (15)
- Highest Density Difference Region Estimation with Application to Flow Cytometric Data (2009) (13)
- Classification of MALDI‐MS imaging data of tissue microarrays using canonical correlation analysis‐based variable selection (2016) (12)
- Polynomial Histograms for Multivariate Density and Mode Estimation (2012) (11)
- Feature extraction for proteomics imaging mass spectrometry data (2014) (10)
- Bootstrap coverage plots for image segmentation (1996) (10)
- Measuring Comonotonicity in M-Dimensional Vectors (2011) (10)
- Pattern recognition based on canonical correlations in a high dimension low sample size context (2012) (10)
- Computationally efficient multidimensional analysis of complex flow cytometry data using second order polynomial histograms (2016) (10)
- Designing Relevant Features for Continuous Data Sets Using ICA (2008) (9)
- Extension of Tomita-Takesaki theory to the unbounded algebra of the canonical commutation relations (1979) (9)
- Analysis of Multivariate and High-Dimensional Data: Notation (2013) (9)
- A New Method for the Construction of Bivariate Archimedean Copulas Based on the λ Function (2011) (8)
- Penalised spline support vector classifiers: computational issues (2008) (6)
- MULTI-CLASS DISCRIMINANT FUNCTION BASED ON CANONICAL CORRELATION IN HIGH DIMENSION LOW SAMPLE SIZE (2013) (5)
- Alignment of time course gene expression data and the classification of developmentally driven genes with hidden Markov models (2015) (4)
- A direct surface smoothing procedure for Fourier image reconstruction in radiophysics (1987) (4)
- The comonotonicity coefficient: A new measure of positive dependence in a multivariate setting (2006) (4)
- Analysis of proteomics data: Impact of alignment on classification (2014) (3)
- Kernel naive Bayes discrimination for high‐dimensional pattern recognition (2019) (3)
- Asymptotic bias and variance of a kernel-based estimator for the location of a discontinuity (1997) (3)
- A Feature Extraction Approach to Characterising Ovarian Cancer using Imaging Mass Spectrometry (2014) (2)
- An application of comonotonicity and convex ordering to present values with truncated stochastic interest rates (2007) (2)
- Rejoinder: Analysis of proteomics data (2014) (1)
- On the problem of estimating the depth to the magnetic basement (1988) (1)
- A new formulation of the magnetic relief problem (1987) (1)
- Exploring the lambda copula construction method for Archimedean copulas: discussion of three lambda types (2008) (1)
- General annuities under truncate stochastic interest rates (2004) (1)
- Analysis of Multivariate and High-Dimensional Data: Multidimensional Data (2013) (0)
- The magnetic relief problem (1986) (0)
- Analysis of Multivariate and High-Dimensional Data: Problems for Part III (2013) (0)
- How many and where are they? A bootstrap-based segmentation strategy for estimating discontinuous functions (1995) (0)
- An analysis of methods for an image registration problem in medical X-ray images (1993) (0)
- Unsupervised Partitioning with Principal Component and Independent Component Analysis (2006) (0)
- Theoretical problems in image analysis (1991) (0)
- Feature Selection and Principal Component Analysis Revisited (2013) (0)
- Analysis of Multivariate and High-Dimensional Data: Discriminant Analysis (2013) (0)
- Independent Component Analysis (2013) (0)
- Analysis of Multivariate and High-Dimensional Data: Factor Analysis (2013) (0)
- An analysis of solution techniques for the magnetic relief equation and the equation of downward continuation (1988) (0)
- Principal Component Analysis (2013) (0)
- A biased bootstrap approach to image segmentation (2001) (0)
- Analysis of Multivariate and High-Dimensional Data: Canonical Correlation Analysis (2013) (0)
- Towards Non-Gaussianity (2013) (0)
- Exploring the ? copula construction method for Archimedean copulas: Discussion of three ? types (2008) (0)
- Analysis of Multivariate and High-Dimensional Data: Preface (2013) (0)
- Non-deterministic flight simulation (2007) (0)
- Analysis of Multivariate and High-Dimensional Data: Norms, Proximities, Features and Dualities (2013) (0)
- Feature significance for multivariate data and kernel density estimation (2006) (0)
- Analysis of Multivariate and High-Dimensional Data: Kernel and More Independent Component Methods (2013) (0)
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