diff --git a/libs/util/include/psemek/util/statistics.hpp b/libs/util/include/psemek/util/statistics.hpp
index ee1950f3..e17afd1c 100644
--- a/libs/util/include/psemek/util/statistics.hpp
+++ b/libs/util/include/psemek/util/statistics.hpp
@@ -1,5 +1,6 @@
 #pragma once
 
+#include <psemek/util/spatial_array.hpp>
 #include <boost/math/special_functions/erf.hpp>
 
 #include <iostream>
@@ -79,6 +80,32 @@ namespace psemek::util
 				return variance_;
 			}
 
+			T stddev() const
+			{
+				return std::sqrt(variance_);
+			}
+
+			T percentile(double p, T const & min, T const & max) const
+			{
+				// Assume truncated normal distribution in the range [min, max]
+				//   which is the maximum-entropy distribution on this range
+				//   with specified mean and variance
+				// See
+				//   https://en.wikipedia.org/wiki/Maximum_entropy_probability_distribution#Other_examples
+				//   https://en.wikipedia.org/wiki/Truncated_normal_distribution
+
+				float const mu = mean();
+				float const sigma = stddev();
+
+				if (sigma == T{0})
+					return mu;
+
+				float const alpha = (min - mu) / sigma;
+				float const beta = (max - mu) / sigma;
+
+				return mu + sigma * detail::normal_cdf_inv(std::lerp(detail::normal_cdf(alpha), detail::normal_cdf(beta), p));
+			}
+
 			friend base_statistics merge(base_statistics const & s1, base_statistics const & s2)
 			{
 				// See https://stackoverflow.com/questions/1480626/merging-two-statistical-result-sets
@@ -115,7 +142,7 @@ namespace psemek::util
 		std::size_t count() const { return base_.count(); }
 		T mean() const { return base_.mean(); }
 		T variance() const { return base_.variance(); }
-		T stddev() const { return std::sqrt(variance()); }
+		T stddev() const { return base_.stddev(); }
 		T min() const { return min_; }
 		T max() const { return max_; }
 
@@ -149,19 +176,7 @@ namespace psemek::util
 	template <typename T>
 	T statistics_lite<T>::percentile(double p) const
 	{
-		// Assume truncated normal distribution in the range [min, max]
-		//   which is the maximum-entropy distributioon on this range
-		//   with specified mean and variance
-		// See
-		//   https://en.wikipedia.org/wiki/Maximum_entropy_probability_distribution#Other_examples
-		//   https://en.wikipedia.org/wiki/Truncated_normal_distribution
-
-		float const mu = mean();
-		float const sigma = stddev();
-		float const alpha = (min_ - mu) / sigma;
-		float const beta = (max_ - mu) / sigma;
-
-		return mu + sigma * detail::normal_cdf_inv(std::lerp(detail::normal_cdf(alpha), detail::normal_cdf(beta), p));
+		return base_.percentile(p, min_, max_);
 	}
 
 	template <typename T>
@@ -174,25 +189,124 @@ namespace psemek::util
 		return result;
 	}
 
+	template <typename T, T Precision>
+	struct statistics_log_bucket
+		: statistics_lite<T>
+	{
+		// Only accepts non-negative values
+		void push(T const & value, std::size_t count = 1);
+
+		T percentile(double p) const;
+
+		statistics_lite<T> & lite() { return *this; }
+		statistics_lite<T> const & lite() const { return *this; }
+
+		template <typename H, H P>
+		friend statistics_log_bucket<H, P> merge(statistics_log_bucket<H, P> const & s1, statistics_log_bucket<H, P> const & s2);
+
+	private:
+		static constexpr T bucket_size = Precision / std::log(2.0);
+
+		std::size_t zero_count_ = 0;
+		util::spatial_array<detail::base_statistics<T>, 1, int> buckets_;
+		mutable util::spatial_array<std::size_t, 1, int> prefix_count_;
+	};
+
+	template <typename T, T Precision>
+	void statistics_log_bucket<T, Precision>::push(T const & value, std::size_t count)
+	{
+		lite().push(value, count);
+		if (value == T{0}) [[unlikely]]
+			++zero_count_;
+		else
+		{
+			int const bucket = std::floor(std::log2(value) / bucket_size);
+			buckets_.get(bucket).push(value, count);
+		}
+
+		prefix_count_.clear();
+	}
+
+	template <typename T, T Precision>
+	T statistics_log_bucket<T, Precision>::percentile(double p) const
+	{
+		if (prefix_count_.empty())
+		{
+			std::size_t count = zero_count_;
+
+			prefix_count_.get(buckets_.min(0)) = count;
+			for (int bucket = buckets_.min(0); bucket < buckets_.max(0); ++bucket)
+			{
+				count += buckets_.at(bucket).count();
+				prefix_count_.get(bucket + 1) = count;
+			}
+		}
+
+		std::size_t index = std::min<std::size_t>(this->count() - 1, this->count() * p);
+
+		auto it = std::lower_bound(prefix_count_.begin(), prefix_count_.end(), index);
+
+		if (it == prefix_count_.begin())
+			return T{0};
+
+		--it;
+
+		int bucket = buckets_.min(0) + (it - prefix_count_.begin());
+
+		double min = std::exp2(bucket * bucket_size);
+		double max = std::exp2((bucket + 1) * bucket_size);
+		double q = double(index - *it) / (*(it + 1) - *it);
+
+		return buckets_.at(bucket).percentile(q, min, max);
+	}
+
+	template <typename T, T Precision>
+	std::ostream & operator << (std::ostream & os, statistics_log_bucket<T, Precision> const & s)
+	{
+		os << s.lite();
+		return os;
+	}
+
+	template <typename T, T Precision>
+	statistics_log_bucket<T, Precision> merge(statistics_log_bucket<T, Precision> const & s1, statistics_log_bucket<T, Precision> const & s2)
+	{
+		statistics_log_bucket<T, Precision> result;
+		result.lite() = merge(s1.lite(), s2.lite());
+
+		for (int bucket = s1.buckets_.min(0); bucket < s1.buckets_.max(0); ++bucket)
+		{
+			auto const & source = s1.buckets_.at(bucket);
+			auto & target = result.buckets_.get(bucket);
+			target = merge(target, source);
+		}
+
+		for (int bucket = s2.buckets_.min(0); bucket < s2.buckets_.max(0); ++bucket)
+		{
+			auto const & source = s2.buckets_.at(bucket);
+			auto & target = result.buckets_.get(bucket);
+			target = merge(target, source);
+		}
+
+		return result;
+	}
+
 	template <typename T>
 	struct statistics
 		: statistics_lite<T>
 	{
 		void push(T const & value, std::size_t count = 1);
 
-		std::size_t count() const { return values_.size(); }
-
 		T percentile(double p) const;
 
 		template <typename H>
 		friend statistics<H> merge(statistics<H> const & s1, statistics<H> const & s2);
 
+		statistics_lite<T> & lite() { return *this; }
+		statistics_lite<T> const & lite() const { return *this; }
+
 	private:
 		mutable std::vector<T> values_;
 		mutable bool sorted_ = true;
-
-		statistics_lite<T> & lite() { return *this; }
-		statistics_lite<T> const & lite() const { return *this; }
 	};
 
 	template <typename T>
@@ -218,7 +332,7 @@ namespace psemek::util
 	template <typename T>
 	std::ostream & operator << (std::ostream & os, statistics<T> const & s)
 	{
-		os << "mean = " << s.mean() << ", dev = " << s.stddev() << ", range = [" << s.min() << " .. " << s.max() << "]";
+		os << s.lite();
 		return os;
 	}