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	<title>generalized raking &#8211; BIOENGINEER.ORG</title>
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		<title>Maximum Entropy Method Outpaces Classical Raking in High-Dimensional Synthetic Population Generation</title>
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		<pubDate>Sat, 24 Oct 2026 00:57:30 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[agent-based modeling]]></category>
		<category><![CDATA[cardinality constraints]]></category>
		<category><![CDATA[constraint programming]]></category>
		<category><![CDATA[convex optimization]]></category>
		<category><![CDATA[exponential family]]></category>
		<category><![CDATA[generalized raking]]></category>
		<category><![CDATA[iterative proportional fitting]]></category>
		<category><![CDATA[maximum entropy]]></category>
		<category><![CDATA[MCMC]]></category>
		<category><![CDATA[microsimulation]]></category>
		<category><![CDATA[NPORS]]></category>
		<category><![CDATA[synthetic populations]]></category>
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					<description><![CDATA[A new maximum-entropy relaxation turns the combinatorial problem of building synthetic populations from overlapping statistical constraints into convex optimization, decisively beating generalized raking once attribute counts and constraint arity grow large.]]></description>
		
		
		
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