Hierarchical linear modelling

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Topic: Hierarchical linear modelling

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	References Continued 4
		Thorpe, P.K. A hierarchical linear modeling approach towards the dynamic assessment of mathematical conceptual learning.
		Ein modell zur Vorhersage des Rehabilitationserfolgs schizophrener Patienten (A prediction model for schizophrenic patients' success in rehabilitation).
		The Seria-Think instrument: A novel measure for assessment and intervention in seriational-computational domain.
	www.dynamicassessment.com /_wsn/page9.html (5061 words)

	Multiresolution Surface Approximation
		The resulting hierarchical surface accurately and economically reproduces the original mesh, is free from excessive undulations in the intermediate levels and produces a multiresolution representation suitable for animation and interactive modelling.
		Many 3D computer graphics modelling and animation systems use a B-spline representation for curves and surfaces because of their geometric properties such as smoothness and controllable Cn parametric continuity between patches.
		However numerous applications in medical imaging and computer animation begin with real-world data and it would be extremely useful to construct hierarchical surfaces from such information.
	www.cs.ubc.ca /spider/forsey/Approx/App_1.html (5061 words)

	Dr. K.W. NG Homepage
		Tan, M., Tian, G. and Ng, K.W. "Hierarchical Bayesian models for repeated binary data using the IBF sampler," accepted to appear in Journal of Computational Statistics and Data Analysis.
		Zhu, L., Cui, H. and Ng, K.W. "Some properties of a lack-of-fit test for a linear errors in variables model," Acta Mathematicae Applicatae Sinica (English Series), 20(4) (2004), 533-540.
		Cui, H., He, X. and Ng, K.W. "M-estimation for linear models with spatially-correlated errors," Statistics and Probability Letters, 66(4) (2004), 383-393.
	www.hku.hk /statistics/staff/kaing (5061 words)

	CSSM Academics: Publications
		A nested error regression model for multivariate hierarchical Bayes estimation of small area means.
		Nonparametric regression in the presence of correlated errors, in Modelling Longitudinal and Spatially Correlated Data: Methods, Applications and Future Directions, T. Gregoire, D. Brillinger, P. Diggle, E. Russek-Cohen, W. Warren and R. Wolfinger (editors), Springer, New York, 339-348.
		Estimating an unknown function by local linear regression when the errors are correlated, in 1996 Proceedings of the Section on Statistical Computing, American Statistical Association, Alexandria, VA, p.102-108.
	www.statlab.iastate.edu /survey/academic/pubs.html (5061 words)

	National ICT Australia - Associate Professor Robert Jan van Glabbeek
		Associate Professor van Glabbeekâs research interests include: models of concurrency; compositional implementation relations; structural operational semantics; proof nets for linear logic; process algebra; workflow modelling; and hierarchical system design.
		Associate Professor van Glabbeek has been active as a research scientist in the field of Formal Methods since 1984, of which five years were spent at CWI in Amsterdam and twelve years at Stanford University.
		Associate Professor van Glabbeek maintains close ties with the concurrency group at Stanford University and the Laboratory for Foundations of Computer Science at the University of Edinburgh.
	nicta.com.au /director/research/programs/fm/people/robert_jan_van_glabbeek.cfm?print=1 (477 words)

	Michael J. Daniels
		Daniels M. (2006) Bayesian modeling of several covariance matrices and some results on propriety of the posterior for linear regression with correlated and/or heterogeneous errors.
		(1999) "Nonconjugate Bayesian Estimation of Covariance matrices and its use in hierarchical models" Journal of the American Statistical Association.
		Daniels, M., Zhao, Y. (2003) "Modelling the random effects covariance matrix in longitudinal data", Statistics in Medicine.
	www.stat.ufl.edu /~mdaniels/research.html (595 words)

	Companies - Specializing - 3d Program Software
		Specializes in: kinematic, 3d graphics, model, raytracer, opengl, volumetric, cybermotion 3d designer, particle, renderer, directx, 3d designer, rendering, designer, inverse, graphics, raytracing, 3d text, flares, 3d animation, cybermotion, design, hierarchical, motion, blur, 3d design, animation, reinhard epp software, modelling, ray tracing, modeller, 3d model, kinematics, shareware, 3d program, lights, converter
		Specializes in: modeling, truck, program, optimisation, layout, nesting, stock cutting, optimiser, load planning, load, pallet, packing, loading, utilization, scheduling, cut waste, container packing, optimizing, optimal, stock, analysis, numerical, limited resources, bin packing, rectangular, two dimensional, development, astrokettle algorithms, warehousing, arrangement, solver, practical, optimization, solve, algorithms, cargo, area, optimizer, three dimensional, linear, project, custom, cutting
		Blackbox breathes life into 3D objects by easily making them interactive and programmable, and le...
	www.soft411.org /companies/3d-program.html (595 words)

	Research Publications
		(2000) Hierarchical Bayesian models for regularisation in sequential learning., Neural Computation.
		Demetriou, G., Atwell, E., Souter, C. (2000) Using Lexical Semantic Knowledge from Machine Readable Dictionaries for Domain Independent Language Modelling., In Proceedings of the 2nd International Language Resources and Evaluation Conference (LREC 2000), Athens.
		(2000) A resultant matrix for scaled Bernstein polynomials., Linear Algebra and Its Applications, (319), pp 179-191.
	www.dcs.shef.ac.uk /research/publications.html (595 words)

	CSSM Academics: Publications
		A nested error regression model for multivariate hierarchical Bayes estimation of small area means.
		Model-assisted estimation of forest resources with generalized additive models in Proceedings of the 16th International Workshop on Statistical Modelling, B. Klein and L. Korsholm (Eds.), Odense, Denmark, 313-320.
		Estimating an unknown function by local linear regression when the errors are correlated, in 1996 Proceedings of the Section on Statistical Computing, American Statistical Association, Alexandria, VA, p.102-108.
	www.statlab.iastate.edu /survey/academic/pubs.html (595 words)

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Topic: Hierarchical linear modelling

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