The place where statistics, coffee and bayes theorem come toghether

Matías Castillo-Aguilar

Introduction

Ever wondered how your brain manages to

 tell your hand to grab that slice of pizza

before your roommate does?

Decoding the Neuron’s Spark: Building Intuition for Action Potential Dynamics

CardioCurveR With the mission to aid everyone to be able to use and test our work, we developed and published an R package with easy and out-of-the-box solutions to analyze R-R intervals with dual-logistic behaviour! Go check it here!

 Introduction

Let’s talk about your heart.

So, You Think You Can Model a Heartbeat?

Introduction

Remember MCMC from our series on these algorithms? Good times. We wandered through probability space

 like tourists with outdated maps

, occasionally stumbling upon the good parts of the posterior.

Going NUTS: A Step-by-Step Guide to Adaptive Hamiltonian Sampling in R

Introduction

The Immunological Challenge Let’s face it, the

 immune system

is a bit of a drama queen (or king, depending on the situation). It’s constantly patrolling our bodies,

 acting as a vigilant security force

, looking for trouble (like invading pathogens, damaged cells, or rogue cancer cells). When it finds something suspicious, it

 initiates a complex and tightly regulated

Modeling Lymphocyte Dynamics: Agent-Based Simulations and Non-Linear Equations

Introduction

Hey there, fellow science enthusiasts and stats geeks! Welcome back to the wild world of Markov Chain Monte Carlo (MCMC) algorithms. This is

 part two

of my series on the

 powerhouse behind Bayesian Inference

. If you missed the first post, no worries! Just hop on over here and catch up before we dive deeper into the MCMC madness.

The Good, The Bad, and Hamiltonian Monte Carlo

Introduction

If you missed the first edition of this series of non-linear models posts, go see it now! The human brain is a show-off, really.

Non-linear models: A Case for Synaptic Plasticity

This is a Draft


 Introduction

The Immunological Challenge Let’s face it, the

 immune system

is a bit of a drama queen (or king, depending on the situation). It’s constantly patrolling our bodies,

 acting as a vigilant security force

, looking for trouble (like invading pathogens, damaged cells, or rogue cancer cells). When it finds something suspicious, it

 initiates a

Hello stranger

First of all, welcome to the first post of “Bayesically Speaking” (which, in case you haven’t noticed, is a word play between “Basically Speaking” and the (hopefully) well-known Bayes’ theorem), and although the web is offline at the time of writing this article, I find myself following the advice of all those people who encouraged me to trust my instinct and dare to do what I have always wanted: to be able to

Welcome to Bayesically Speaking

Introduction

When we exercise, our hearts run faster, which is associated with a decrease in the time between heartbeats. This time between heartbeats is also known by R-R intervals. If you have ever seen an electrocardiogram (EKG) curve before, each time your heart pumps you’ll see a small spike in your EKG;

HMC by Hand: Gradients, Heartbeats, PDEs and Other Tales

Introduction

Alright, folks, let’s dive into the wild world of statistics and data science! Picture this: you’re knee-deep in data, trying to make sense of the chaos.

Markov Chain Monte What?

Introduction

Let’s be honest, being a statistician or a scientist

 isn’t just about crunching numbers all day

. It’s more like being a detective, a problem solver, and yeah, throwing in some math for good measure. When we get into

 non-linear models

, things really start to get interesting. We’re not just drawing straight lines anymore;