Model selection
Multinomial processing tree models of factorial categorization
Journal of Mathematical Psychology
Probability theory and statistical inference: econometric modelling with observational data
Probability theory and statistical inference: econometric modelling with observational data
Computational approaches to parameter estimation and model selection in immunology
Journal of Computational and Applied Mathematics - Special issue: Mathematics applied to immunology
Applied Numerical Mathematics - Tenth seminar on and differential-algebraic equations (NUMDIFF-10)
ACM Transactions on Asian Language Information Processing (TALIP)
Using Echo State Networks for Anomaly Detection in Underground Coal Mines
IPSN '08 Proceedings of the 7th international conference on Information processing in sensor networks
Journal of Computational and Applied Mathematics
Executable Code Recognition in Network Flows Using Instruction Transition Probabilities
IEICE - Transactions on Information and Systems
Applied Numerical Mathematics
Computational approaches to parameter estimation and model selection in immunology
Journal of Computational and Applied Mathematics - Special issue: Mathematics applied to immunology
Spatiotemporal anomaly detection in gas monitoring sensor networks
EWSN'08 Proceedings of the 5th European conference on Wireless sensor networks
IKNOS: inference and knowledge in networks of sensors
International Journal of Sensor Networks
Robust Gait Recognition by Learning and Exploiting Sub-gait Characteristics
International Journal of Computer Vision
Exploring a Bayesian and linear approach to requirements traceability
Information and Software Technology
Towards a profound analysis of bags-of-tasks in parallel systems and their performance impact
Proceedings of the 20th international symposium on High performance distributed computing
Computer Networks: The International Journal of Computer and Telecommunications Networking
General purpose software for efficient uncertainty management of large finite element models
Finite Elements in Analysis and Design
On the convergence and robustness of reserve pricing in keyword auctions
Proceedings of the 14th Annual International Conference on Electronic Commerce
Recognizing occluded faces by exploiting psychophysically inspired similarity maps
Pattern Recognition Letters
Optimal Event Monitoring through Internet Mashup over Multivariate Time Series
International Journal of Decision Support System Technology
Licensed user activity estimation and track in mobile cognitive radio ad hoc networks
Computers and Electrical Engineering
Text-independent speaker identification system based on the histogram of DCT-cepstrum coefficients
International Journal of Knowledge-based and Intelligent Engineering Systems
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In this paper, I provide a tutorial exposition on maximum likelihood estimation (MLE). The intended audience of this tutorial are researchers who practice mathematical modeling of cognition but are unfamiliar with the estimation method. Unlike least-squares estimation which is primarily a descriptive tool, MLE is a preferred method of parameter estimation in statistics and is an indispensable tool for many statistical modeling techniques, in particular in non-linear modeling with non-normal data. The purpose of this paper is to provide a good conceptual explanation of the method with illustrative examples so the reader can have a grasp of some of the basic principles.