activity
20222026
most citedProof mining and probability theory

4 citations · 4 across the 11 of their papers we have counts for

collaborators

12 papers

math.LO2026

Logical Metatheorems for Abstract Spaces axiomatized in Positive Bounded Logic II: Metric spaces and the model-theoretic uniformity principle

Ulrich Kohlenbach, Morenikeji Neri, Jin Wei

We extend the proof-theoretic treatment of uniform bound extraction from normed structures axiomatized in positive bounded logic [Advances in Mathematics, 290:503-551, 2016] (as de…

math.PR2026

Quantitative limit theorems for generalized Pólya urns with applications to random tree models

Morenikeji Neri, Pedro Pinto

We establish novel quantitative limit theorems for the asymptotic distribution of colours in a generalized Pólya urn. Concretely, we construct explicit rates of convergence for the…

math.LO2026

A systematic way of analysing proofs in probability theory

Morenikeji Neri, Paulo Oliva, Nicholas Pischke

Over extended systems of finite type arithmetic, we utilize a formal representation of the outer measure to define a translation which allows for the systematic formalization of pr…

math.OC2026

Generalized fluctuation bounds for stochastic algorithms in the presence of compactness

Morenikeji Neri, Nicholas Pischke, Thomas Powell

We provide a convergence result for sequences of random variables taking values in a metric space that satisfy a stochastic quasi-Fejér monotonicity condition, in the context of a…

math.DS2025

The pointwise ergodic theorem on finitely additive spaces

Morenikeji Neri

The almost sure convergence of ergodic averages in Birkhoff's pointwise ergodic theorem is known to fail in the finitely additive setting. We introduce a natural reformulation of a…

math.OC2025

An abstract effective convergence theorem for stochastic processes, with applications to stochastic approximation

Morenikeji Neri, Nicholas Pischke, Thomas Powell

We provide a general theorem on the asymptotic behavior of stochastic processes that conform to a relaxed supermartingale condition. The distinguishing feature of our result is tha…

math.LO2024

A finitary Kronecker's lemma and large deviations in the Strong Law of Large numbers on Banach spaces

Morenikeji Neri

We explore the computational content of Kronecker's lemma via the proof-theoretic perspective of proof mining and utilise the resulting finitary variant of this fundamental result…

math.OC2024

A quantitative Robbins-Siegmund theorem

Morenikeji Neri, Thomas Powell

The Robbins-Siegmund theorem is one of the most important results in stochastic optimization, where it is widely used to prove the convergence of stochastic algorithms. We provide…

math.PR2024

On quantitative convergence for stochastic processes: Crossings, fluctuations and martingales

Morenikeji Neri, Thomas Powell

We develop a general framework for extracting highly uniform bounds on local stability for stochastic processes in terms of information on fluctuations or crossings. This includes…

math.PR2024

Quantitative Strong Laws of Large Numbers

Morenikeji Neri

Using proof-theoretic methods in the style of proof mining, we give novel computationally effective limit theorems for the convergence of the Cesaro-means of certain sequences of r…

math.LO2024★ 4 cited

Proof mining and probability theory

Morenikeji Neri, Nicholas Pischke

We extend the theoretical framework of proof mining by establishing general logical metatheorems that allow for the extraction of the computational content of theorems with prima f…

math.LO2022

A computational study of a class of recursive inequalities

Morenikeji Neri, Thomas Powell

We examine the convergence properties of sequences of nonnegative real numbers that satisfy a particular class of recursive inequalities, from the perspective of proof theory and c…