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How to compute impulse responses for Bayesian estimation SVAR from BSVARS package in R using code provided in GitHub?

Unveiling Impulse Responses in Bayesian Structural Vector Autoregressions SVARs with BSVARs in R Problem Understanding the dynamic effects of shocks in economic

2 min read 05-10-2024 48
How to compute impulse responses for Bayesian estimation SVAR from BSVARS package in R using code provided in GitHub?
How to compute impulse responses for Bayesian estimation SVAR from BSVARS package in R using code provided in GitHub?

torch.tensor results are registered as constants in the trace

Torch Tensor Results as Constants in Tracing A Detailed Explanation Understanding the Problem Py Torchs tracing mechanism is crucial for optimizing model perfor

2 min read 05-10-2024 38
torch.tensor results are registered as constants in the trace
torch.tensor results are registered as constants in the trace

GPBoost and Bayesian optimization

Understanding GP Boost and Bayesian Optimization A Comprehensive Guide In the realm of machine learning two powerful techniques are gaining traction GP Boost an

3 min read 30-09-2024 43
GPBoost and Bayesian optimization
GPBoost and Bayesian optimization

Bayesian Analysis: "Probability as Prediction" vs. "Likelihood as Explanation"?

Bayesian Analysis Probability as Prediction vs Likelihood as Explanation Bayesian analysis is a powerful statistical framework that allows us to make inferences

2 min read 28-09-2024 53
Bayesian Analysis: "Probability as Prediction" vs. "Likelihood as Explanation"?
Bayesian Analysis: "Probability as Prediction" vs. "Likelihood as Explanation"?

What does the Hastings Ratio look like for MCMC with a Dirichlet Process Prior?

Understanding the Hastings Ratio in MCMC with a Dirichlet Process Prior In Bayesian statistics the Hastings ratio plays a pivotal role in Markov Chain Monte Car

3 min read 24-09-2024 57
What does the Hastings Ratio look like for MCMC with a Dirichlet Process Prior?
What does the Hastings Ratio look like for MCMC with a Dirichlet Process Prior?

Calculating Marginal Effects for 'endorse' models?

Understanding and Calculating Marginal Effects for Endorse Models In statistical analysis particularly in the realm of econometrics marginal effects play a cruc

2 min read 20-09-2024 52
Calculating Marginal Effects for 'endorse' models?
Calculating Marginal Effects for 'endorse' models?

Error in jags model: Parameter estimation for a fractional Caputo model

Troubleshooting JAGS Model Errors Parameter Estimation for a Fractional Caputo Model When working with statistical models in JAGS Just Another Gibbs Sampler its

3 min read 19-09-2024 51
Error in jags model: Parameter estimation for a fractional Caputo model
Error in jags model: Parameter estimation for a fractional Caputo model

SMAC with MFFacade returns None

Understanding SMAC with MF Facade Why It Returns None In the world of data science and algorithmic trading terms like SMAC Simple Moving Average Crossover and M

2 min read 16-09-2024 60
SMAC with MFFacade returns None
SMAC with MFFacade returns None

STAN code: indization and variable declaration

Understanding STAN Code Indexation and Variable Declaration In the world of statistical modeling and programming Stan is a powerful tool that allows users to pe

2 min read 15-09-2024 58
STAN code: indization and variable declaration
STAN code: indization and variable declaration

BRMS: on what scale are the estimated coefficients of a model with a log link function?

Understanding the Scale of Estimated Coefficients in BRMS with Log Link Function In statistical modeling particularly in Bayesian Regression Models using Stan B

2 min read 15-09-2024 49
BRMS: on what scale are the estimated coefficients of a model with a log link function?
BRMS: on what scale are the estimated coefficients of a model with a log link function?

Bayesian Linear Regression with Tensorflow Probability

Demystifying Bayesian Linear Regression with Tensor Flow Probability A Step by Step Guide This article delves into the fascinating world of Bayesian Linear Regr

6 min read 05-09-2024 46
Bayesian Linear Regression with Tensorflow Probability
Bayesian Linear Regression with Tensorflow Probability

Measuring uncertainty using MC Dropout on pytorch

Unveiling Uncertainty Measuring Model Confidence with MC Dropout in Py Torch In the realm of deep learning understanding model uncertainty is paramount for reli

4 min read 05-09-2024 59
Measuring uncertainty using MC Dropout on pytorch
Measuring uncertainty using MC Dropout on pytorch

PyMC use JAX to compute sample_posterior_predictive with GPU

Unleashing the Power of GPUs for Posterior Predictive Sampling in Py MC with JAX When it comes to Bayesian modeling Py MC offers a powerful framework for defini

2 min read 02-09-2024 42
PyMC use JAX to compute sample_posterior_predictive with GPU
PyMC use JAX to compute sample_posterior_predictive with GPU

'Cannot use a method group as an argument to a dynamically dispatched operation' when passing a function to a dynamic variable

Cannot use a method group as an argument to a dynamically dispatched operation in C with Python Net This article explores the error Cannot use a method group as

2 min read 31-08-2024 56
'Cannot use a method group as an argument to a dynamically dispatched operation' when passing a function to a dynamic variable
'Cannot use a method group as an argument to a dynamically dispatched operation' when passing a function to a dynamic variable

Inaccurate estimates with approximate Bayesian computation using the abc package in R

Tackling Inaccurate Estimates in Approximate Bayesian Computation ABC with the abc Package in R Approximate Bayesian Computation ABC is a powerful tool for infe

3 min read 30-08-2024 53
Inaccurate estimates with approximate Bayesian computation using the abc package in R
Inaccurate estimates with approximate Bayesian computation using the abc package in R

GPyOpt - how to specify "maxiter" for OptLbfgs while using "suggest_next_locations"?

G Py Opt Specifying maxiter for Opt Lbfgs with suggest next locations This article delves into the intricacies of adjusting the maxiter parameter within G Py Op

3 min read 27-08-2024 38
GPyOpt - how to specify "maxiter" for OptLbfgs while using "suggest_next_locations"?
GPyOpt - how to specify "maxiter" for OptLbfgs while using "suggest_next_locations"?