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  2. Logarithmically concave function - Wikipedia

    en.wikipedia.org/wiki/Logarithmically_concave...

    If a density is log-concave, so is its survival function. [3] If a density is log-concave, it has a monotone hazard rate (MHR), and is a regular distribution since the derivative of the logarithm of the survival function is the negative hazard rate, and by concavity is monotone i.e.

  3. Concave function - Wikipedia

    en.wikipedia.org/wiki/Concave_function

    The logarithm function () = ⁡ is concave on its domain (,), as its derivative is a strictly decreasing function. Any affine function f ( x ) = a x + b {\displaystyle f(x)=ax+b} is both concave and convex, but neither strictly-concave nor strictly-convex.

  4. Logarithmically concave measure - Wikipedia

    en.wikipedia.org/wiki/Logarithmically_concave...

    The Brunn–Minkowski inequality asserts that the Lebesgue measure is log-concave. The restriction of the Lebesgue measure to any convex set is also log-concave.. By a theorem of Borell, [2] a probability measure on R^d is log-concave if and only if it has a density with respect to the Lebesgue measure on some affine hyperplane, and this density is a logarithmically concave function.

  5. Logarithmically concave sequence - Wikipedia

    en.wikipedia.org/wiki/Logarithmically_concave...

    The rows of Pascal's triangle are examples for logarithmically concave sequences. In mathematics, a sequence a = (a 0, a 1, ..., a n) of nonnegative real numbers is called a logarithmically concave sequence, or a log-concave sequence for short, if a i 2 ≥ a i−1 a i+1 holds for 0 < i < n.

  6. Log probability - Wikipedia

    en.wikipedia.org/wiki/Log_probability

    The use of log probabilities improves numerical stability, when the probabilities are very small, because of the way in which computers approximate real numbers. [1] Simplicity. Many probability distributions have an exponential form. Taking the log of these distributions eliminates the exponential function, unwrapping the exponent.

  7. Prékopa–Leindler inequality - Wikipedia

    en.wikipedia.org/wiki/Prékopa–Leindler_inequality

    Since the product of two log-concave functions is log-concave, the joint distribution of (X,Y) is also log-concave. Log-concavity is preserved by affine changes of coordinates, so the distribution of (X + Y, X − Y) is log-concave as well. Since the distribution of X+Y is a marginal over the joint distribution of (X + Y, X − Y), we conclude ...

  8. Low carb diet may improve cholesterol levels in people with ...

    www.aol.com/low-carb-diet-may-improve-131000192.html

    Replacing a portion of carbohydrates with protein and fat may help improve cholesterol levels in people with type 2 diabetes, a new study indicates.

  9. Log-concave - Wikipedia

    en.wikipedia.org/wiki/Log-concave

    Log-concave may refer to: Logarithmically concave function; Logarithmically concave measure; Logarithmically concave sequence This page was last edited on 22 ...