Uses of Interface
com.mockturtlesolutions.snifflib.invprobs.ObjectSampler

Packages that use ObjectSampler

Package	Description
com.mockturtlesolutions.snifflib.integration	Contains standard classes and interfaces for performing integration.
com.mockturtlesolutions.snifflib.invprobs	Contains standard classes and interfaces for solving statistical inverse problems.
com.mockturtlesolutions.snifflib.stats	Contains standard classes and interfaces for statistical storage classes and algorithms.
com.mockturtlesolutions.snifflib.testfun	Contains some typical functions useful for testing various algorithms.
com.mockturtlesolutions.snifflib.util	Contains some utility classes providing methods of broad applicability.
com.mockturtlesolutions.snifflib.xppauttools.database	Base classes for the repository storage framework of xppauttools

Uses of ObjectSampler in com.mockturtlesolutions.snifflib.integration

Classes in com.mockturtlesolutions.snifflib.integration that implement ObjectSampler

Modifier and Type	Class and Description
class	OdeModel This model wraps an OdeSolver and extends the StatisticalModel.

Uses of ObjectSampler in com.mockturtlesolutions.snifflib.invprobs

Subinterfaces of ObjectSampler in com.mockturtlesolutions.snifflib.invprobs

Modifier and Type	Interface and Description
interface	MCMCSampler
interface	ObjectSamplerClient

Classes in com.mockturtlesolutions.snifflib.invprobs that implement ObjectSampler

Modifier and Type	Class and Description
class	AbstractProposalDistribution A standard approach to the proposal distribution called for in Metropolis-Hastings Markov Chain Monte-Carlo.
class	BayesianLinear This is a simple extension of Linear appropriate for full Bayesian linear regression under the assumption of independent and identically distributed Gaussian errors and uniform prior.
class	DistributedStatisticalModel Provides a transparent extension of StatisticalModel for cases where parameters and/or data may be distributed across one or more other classes (e.g.
class	GaussianProposal A convenience class for setting up a proposal distribution which is Gaussian for all parameters in a companion StatisticalModel.
class	MCMC
class	MetropolisHastings
class	StatisticalModel This is a class which implements NamedParameters can make predictions as a function of those parameters and can have its parameters optimized.

Uses of ObjectSampler in com.mockturtlesolutions.snifflib.stats

Classes in com.mockturtlesolutions.snifflib.stats that implement ObjectSampler

Modifier and Type	Class and Description
class	FCDF
class	NormPDF

Uses of ObjectSampler in com.mockturtlesolutions.snifflib.testfun

Classes in com.mockturtlesolutions.snifflib.testfun that implement ObjectSampler

Modifier and Type	Class and Description
class	Constant
class	Cubic
class	HollingI
class	HollingII
class	HollingIII
class	Linear
class	MichaelisMenten
class	Quadratic

Uses of ObjectSampler in com.mockturtlesolutions.snifflib.util

Classes in com.mockturtlesolutions.snifflib.util that implement ObjectSampler

Modifier and Type	Class and Description
class	AbstractGammaAlgorithm Gamma function evaluation.
class	AbstractIncBetaAlgorithm Incomplete Beta function.
class	AbstractLogGammaAlgorithm Gamma function evaluation.
class	NRIncBetaAlgorithm Algorithm is based on Numerical Recipies in Fortran p.220-221.
class	NRLogGammaAlgorithm Algorithm is based on Numerical Recipies in Fortran.
class	TothGammaAlgorithm Algorithm is based on an approximation presented by Viktor T.

Uses of ObjectSampler in com.mockturtlesolutions.snifflib.xppauttools.database

Classes in com.mockturtlesolutions.snifflib.xppauttools.database that implement ObjectSampler

Modifier and Type	Class and Description
class	XppOdeStatisticalModel