Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
In convex analysis, a non-negative function f: Rn → R+ is logarithmically concave (or log-concave for short) if its domain is a convex set, and if it satisfies the inequality
Products, Log-concave distributions & Properties
Explore the main themes, entities and connections around Logarithmically concave function. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
log-concave function distributions concave convex functions distribution dom also non-negative isbn mr two density probability pp domain logarithm since parameter
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| BUGS | instance of | This property is heavily used in general-purpose Gibbs sampling programs | 0.80 | text |
| JAGS | instance of | This property is heavily used in general-purpose Gibbs sampling programs | 0.80 | text |
| which are thereby able to use adaptive rejection sampling over a wide variety of conditional distributions derived from the product of other distributions.If a density is log-concave | instance of | This property is heavily used in general-purpose Gibbs sampling programs | 0.80 | text |
| so is its survival function.If a density is log-concave | instance of | This property is heavily used in general-purpose Gibbs sampling programs | 0.80 | text |
| it has a monotone hazard rate | instance of | This property is heavily used in general-purpose Gibbs sampling programs | 0.80 | text |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.