diff --git a/ChangeLog.md b/ChangeLog.md
--- a/ChangeLog.md
+++ b/ChangeLog.md
@@ -1,3 +1,7 @@
+0.5 :
+
+- add Log-normal, Laplace, Weibull distributions
+
 0.4 :
 
 - add Discrete, Categorical, Zipf-Mandelbrot distributions
diff --git a/splitmix-distributions.cabal b/splitmix-distributions.cabal
--- a/splitmix-distributions.cabal
+++ b/splitmix-distributions.cabal
@@ -1,5 +1,5 @@
 name:           splitmix-distributions
-version:        0.4.0.0
+version:        0.5.0.0
 description:    Random samplers for some common distributions, as well as a convenient interface for composing them, based on splitmix. Please see the README on GitHub at <https://github.com/ocramz/splitmix-distributions#readme>
 homepage:       https://github.com/ocramz/splitmix-distributions#readme
 bug-reports:    https://github.com/ocramz/splitmix-distributions/issues
diff --git a/src/System/Random/SplitMix/Distributions.hs b/src/System/Random/SplitMix/Distributions.hs
--- a/src/System/Random/SplitMix/Distributions.hs
+++ b/src/System/Random/SplitMix/Distributions.hs
@@ -42,6 +42,9 @@
   gamma,
   pareto,
   dirichlet,
+  logNormal,
+  laplace,
+  weibull,
   -- ** Discrete
   bernoulli, fairCoin,
   multinomial,
@@ -293,6 +296,46 @@
                Double -- ^ rate parameter \( \lambda > 0 \)
             -> GenT m Double
 exponential l = withGen (exponentialF l)
+
+
+
+
+-- | Log-normal distribution with specified mean and standard deviation.
+logNormal :: Monad m =>
+             Double
+          -> Double -- ^ standard deviation \( \sigma \gt 0 \)
+          -> GenT m Double
+logNormal m sd = exp <$> normal m sd
+{-# INLINABLE logNormal #-}
+
+
+-- | Laplace or double-exponential distribution with provided location and
+--   scale parameters.
+laplace :: Monad m =>
+           Double -- ^ location parameter
+        -> Double  -- ^ scale parameter \( s \gt 0 \)
+        -> GenT m Double
+laplace mu sigma = do
+  u <- uniformR (-0.5) 0.5
+  let b = sigma / sqrt 2
+  return $ mu - b * signum u * log (1 - 2 * abs u)
+{-# INLINABLE laplace #-}
+
+-- | Weibull distribution with provided shape and scale parameters.
+weibull :: Monad m =>
+           Double -- ^ shape \( a \gt 0 \)
+        -> Double -- ^ scale \( b \gt 0 \)
+        -> GenT m Double
+weibull a b = do
+  x <- stdUniform
+  return $ (- 1/a * log (1 - x)) ** 1/b
+{-# INLINABLE weibull #-}
+
+
+
+
+
+
 
 -- | Wrap a 'splitmix' PRNG function
 withGen :: Monad m =>