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<a href="../MathNet.Numerics.Statistics.Mcmc/DensityLn`1.htm">DensityLn<T></a>
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<a href="../MathNet.Numerics.Statistics.Mcmc/MetropolisHastingsSampler`1.htm">MetropolisHastingsSampler<T></a>
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<a href="../MathNet.Numerics.Statistics.Mcmc/UnivariateSliceSampler.htm" class="current">UnivariateSliceSampler</a>
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</div>
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<div class="header">
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<p class="class"><strong>Type</strong> UnivariateSliceSampler</p>
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<p><strong>Namespace</strong> MathNet.Numerics.Statistics.Mcmc</p>
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<p><strong>Parent</strong> <a href="../MathNet.Numerics.Statistics.Mcmc/McmcSampler`1.htm">McmcSampler<T></a></p>
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</div>
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<div class="sub-header">
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<div id="summary">Slice sampling produces samples from distribution P by uniformly sampling from under the pdf of P using
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a technique described in "Slice Sampling", R. Neal, 2003. All densities are required to be in log space.
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The slice sampler is a stateful sampler. It keeps track of where it currently is in the domain
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of the distribution P.
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</div>
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<h3 class="section">Constructors</h3>
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<ul>
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<li><a href="../MathNet.Numerics.Statistics.Mcmc/UnivariateSliceSampler.htm#.ctor">UnivariateSliceSampler</a></li>
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<li><a href="../MathNet.Numerics.Statistics.Mcmc/UnivariateSliceSampler.htm#.ctor">UnivariateSliceSampler</a></li>
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</ul>
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<h3 class="section">Methods</h3>
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<ul>
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<li><a href="../MathNet.Numerics.Statistics.Mcmc/UnivariateSliceSampler.htm#Equals">Equals</a></li>
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<li><a href="../MathNet.Numerics.Statistics.Mcmc/UnivariateSliceSampler.htm#GetHashCode">GetHashCode</a></li>
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<li><a href="../MathNet.Numerics.Statistics.Mcmc/UnivariateSliceSampler.htm#GetType">GetType</a></li>
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<li><a href="../MathNet.Numerics.Statistics.Mcmc/UnivariateSliceSampler.htm#Sample">Sample</a></li>
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<li><a href="../MathNet.Numerics.Statistics.Mcmc/UnivariateSliceSampler.htm#Sample">Sample</a></li>
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<li><a href="../MathNet.Numerics.Statistics.Mcmc/UnivariateSliceSampler.htm#ToString">ToString</a></li>
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</ul>
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<h3 class="section">Properties</h3>
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<ul>
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<li><a href="../MathNet.Numerics.Statistics.Mcmc/UnivariateSliceSampler.htm#AcceptanceRate">AcceptanceRate</a></li>
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<li><a href="../MathNet.Numerics.Statistics.Mcmc/UnivariateSliceSampler.htm#BurnInterval">BurnInterval</a></li>
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<li><a href="../MathNet.Numerics.Statistics.Mcmc/UnivariateSliceSampler.htm#RandomSource">RandomSource</a></li>
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<li><a href="../MathNet.Numerics.Statistics.Mcmc/UnivariateSliceSampler.htm#Scale">Scale</a></li>
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</ul>
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</div>
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<h3 class="section">Public Constructors</h3>
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<div id=".ctor" class="method">
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<h4> <strong>UnivariateSliceSampler</strong>(<span title="System.double">double</span> x0, <a href="../MathNet.Numerics.Statistics.Mcmc/DensityLn`1.htm">DensityLn<T></a> pdfLnP, <span title="System.double">double</span> scale)</h4>
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<div class="content">Constructs a new Slice sampler using the default <span title="System.Random">Random</span> random
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number generator. The burn interval will be set to 0.
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<div class="parameters">
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<h5>Parameters</h5>
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<h6><code><span title="System.double">double</span></code> x0</h6>
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<p class="comments">The initial sample. </p>
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<h6><code><a href="../MathNet.Numerics.Statistics.Mcmc/DensityLn`1.htm">DensityLn<T></a></code> pdfLnP</h6>
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<p class="comments">The density of the distribution we want to sample from. </p>
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<h6><code><span title="System.double">double</span></code> scale</h6>
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<p class="comments">The scale factor of the slice sampler. </p>
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</div>
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</div>
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</div>
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<div id=".ctor" class="method">
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<h4> <strong>UnivariateSliceSampler</strong>(<span title="System.double">double</span> x0, <a href="../MathNet.Numerics.Statistics.Mcmc/DensityLn`1.htm">DensityLn<T></a> pdfLnP, <span title="System.int">int</span> burnInterval, <span title="System.double">double</span> scale)</h4>
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<div class="content">Constructs a new slice sampler using the default <span title="System.Random">Random</span> random number generator. It
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will set the number of burnInterval iterations and run a burnInterval phase.
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<div class="parameters">
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<h5>Parameters</h5>
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<h6><code><span title="System.double">double</span></code> x0</h6>
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<p class="comments">The initial sample. </p>
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<h6><code><a href="../MathNet.Numerics.Statistics.Mcmc/DensityLn`1.htm">DensityLn<T></a></code> pdfLnP</h6>
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<p class="comments">The density of the distribution we want to sample from. </p>
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<h6><code><span title="System.int">int</span></code> burnInterval</h6>
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<p class="comments">The number of iterations in between returning samples. </p>
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<h6><code><span title="System.double">double</span></code> scale</h6>
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<p class="comments">The scale factor of the slice sampler. </p>
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</div>
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</div>
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</div>
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<h3 class="section">Public Methods</h3>
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<div id="Equals" class="method">
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<h4><span title="System.bool">bool</span> <strong>Equals</strong>(<span title="System.object">object</span> obj)</h4>
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<div class="content">
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</div>
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</div>
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<div id="GetHashCode" class="method">
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<h4><span title="System.int">int</span> <strong>GetHashCode</strong>()</h4>
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<div class="content">
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</div>
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</div>
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<div id="GetType" class="method">
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<h4><span title="System.Type">Type</span> <strong>GetType</strong>()</h4>
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<div class="content">
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</div>
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</div>
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<div id="Sample" class="method">
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<h4><span title="System.double">double</span> <strong>Sample</strong>()</h4>
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<div class="content">Returns a sample from the distribution P.
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</div>
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</div>
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<div id="Sample" class="method">
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<h4><span title="System.Double[]">Double[]</span> <strong>Sample</strong>(<span title="System.int">int</span> n)</h4>
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<div class="content">Returns a number of samples.
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<div class="parameters">
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<h5>Parameters</h5>
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<h6><code><span title="System.int">int</span></code> n</h6>
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<p class="comments">The number of samples we want. </p>
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</div>
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<div class="return">
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<h5>Return</h5>
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<h6><code><span title="System.Double[]">Double[]</span></code></h6>
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<p>An array of samples. </p>
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</div>
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</div>
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</div>
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<div id="ToString" class="method">
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<h4><span title="System.string">string</span> <strong>ToString</strong>()</h4>
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<div class="content">
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</div>
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</div>
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<h3 class="section">Public Properties</h3>
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<div id="AcceptanceRate" class="method">
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<h4><span title="System.double">double</span> <strong>AcceptanceRate</strong> get; </h4>
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<div class="content">
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</div>
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</div>
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<div id="BurnInterval" class="method">
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<h4><span title="System.int">int</span> <strong>BurnInterval</strong> get; set;</h4>
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<div class="content">Gets or sets the number of iterations in between returning samples.
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</div>
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</div>
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<div id="RandomSource" class="method">
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<h4><span title="System.Random">Random</span> <strong>RandomSource</strong> get; set;</h4>
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<div class="content">
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</div>
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</div>
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<div id="Scale" class="method">
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<h4><span title="System.double">double</span> <strong>Scale</strong> get; set;</h4>
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<div class="content">Gets or sets the scale of the slice sampler.
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</div>
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</div>
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<div id="footer">
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<p>Based on v5.0.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
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<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
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