Esempio n. 1
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		/// <summary>
		/// EP message to 'isBetween'
		/// </summary>
		/// <param name="X">Incoming message from 'x'. Must be a proper distribution.  If uniform, the result will be uniform.</param>
		/// <param name="lowerBound">Incoming message from 'lowerBound'. Must be a proper distribution.  If uniform, the result will be uniform.</param>
		/// <param name="upperBound">Incoming message from 'upperBound'.</param>
		/// <returns>The outgoing EP message to the 'isBetween' argument</returns>
		/// <remarks><para>
		/// The outgoing message is a distribution matching the moments of 'isBetween' as the random arguments are varied.
		/// The formula is <c>proj[p(isBetween) sum_(x,lowerBound,upperBound) p(x,lowerBound,upperBound) factor(isBetween,x,lowerBound,upperBound)]/p(isBetween)</c>.
		/// </para></remarks>
		/// <exception cref="ImproperMessageException"><paramref name="X"/> is not a proper distribution</exception>
		/// <exception cref="ImproperMessageException"><paramref name="lowerBound"/> is not a proper distribution</exception>
		public static Bernoulli IsBetweenAverageConditional([SkipIfUniform] Gaussian X, [SkipIfUniform] Gaussian lowerBound, Gaussian upperBound)
		{
			Bernoulli result = new Bernoulli();
			result.SetLogProbTrue(LogProbBetween(X, lowerBound, upperBound));
			return result;
		}