4.5 Editorial Material

Quantitative Big Data: where chemometrics can contribute

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Automation & Control Systems

Combining SO-PLS and linear discriminant analysis for multi-block classification

Alessandra Biancolillo et al.

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2015)

Article Automation & Control Systems

Global structure of sloppiness in a nonlinear model

Valeria Tafintseva et al.

JOURNAL OF CHEMOMETRICS (2014)

Review Statistics & Probability

Analyzing complex mathematical model behavior by partial least squares regression-based multivariate metamodeling

Kristin Tondel et al.

WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL STATISTICS (2014)

Article Automation & Control Systems

Distribution based truncation for variable selection in subspace methods for multivariate regression

Kristian Hovde Liland et al.

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2013)

Article Automation & Control Systems

The costs of complex model optimization

C. M. Rubingh et al.

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2013)

Proceedings Paper Mathematics, Interdisciplinary Applications

PLS-Based Multivariate Metamodeling of Dynamic Systems

Harald Martens et al.

NEW PERSPECTIVES IN PARTIAL LEAST SQUARES AND RELATED METHODS (2013)

Article Automation & Control Systems

Fast and comprehensive fitting of complex mathematical models to massive amounts of empirical data

Julia Isaeva et al.

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2012)

Article Automation & Control Systems

Model validation and error estimation in multi-block partial least squares regression

Sahar Hassani et al.

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2012)

Review Automation & Control Systems

A review of variable selection methods in Partial Least Squares Regression

Tahir Mehmood et al.

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2012)

Article Automation & Control Systems

The informative converse paradox: Windows into the unknown

Harald Martens

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2011)

Article Statistics & Probability

Sparse partial least squares regression for simultaneous dimension reduction and variable selection

Hyonho Chun et al.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2010)

Article Mathematical & Computational Biology

The genotype-phenotype relationship in multicellular pattern-generating models - the neglected role of pattern descriptors

Harald Martens et al.

BMC SYSTEMS BIOLOGY (2009)

Article Automation & Control Systems

Canonical partial least squares-a unified PLS approach to classification and regression problems

Ulf G. Indahl et al.

JOURNAL OF CHEMOMETRICS (2009)

Article Automation & Control Systems

ST-PLS: a multi-directional nearest shrunken centroid type classi er via PLS

S. Saebo et al.

JOURNAL OF CHEMOMETRICS (2008)

Article Biochemical Research Methods

Universally sloppy parameter sensitivities in systems biology models

Ryan N. Gutenkunst et al.

PLOS COMPUTATIONAL BIOLOGY (2007)

Article Automation & Control Systems

Reducing over-optimism in variable selection by cross-model validation

Endre Anderssen et al.

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2006)

Article Automation & Control Systems

Pre-whitening of data by covariance-weighted pre-processing

H Martens et al.

JOURNAL OF CHEMOMETRICS (2003)

Article Automation & Control Systems

Reliable and relevant modelling of real world data: a personal account of the development of PLS Regression

H Martens

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2001)