For a given data, we provide the best histogram, kernel density estimation,
Bayesian estimator, and Hidden Markov model. |
We developed an analytical method of inferring the location of an animal
from the neuronal signals, using the Hidden Markov Model (HMM). |
Analytical tools for estimating synaptic connections from recorded spike
trains. We have developed two methods: CoNNECT and GLMCC. |
A method for estimating exogenous changes and endogenous self-exciation
mechanism from a single series of events. |
Fight against our AI machine that predicts your rock-paper-scissors hand
from slight biases you have exhibited in your previous hands. |
We devised a Bayesian machine for inferring the type of a coin from the colliding sounds. Drop a coin and test if it works. /under construction/ |
Sing Do, Re, Mi, Fa, Sol, La, Ti, and Do, after piano sounds. The machine evaluates your choral proficiency from the voice. /under construction/ |
We estimate the time-varying reproduction number of COVID-19 with a state-spsce
method. |