query: Obtaining confidence over prediction?
positive_passages.docid: 149213
positive_passages.text: How confident is my model? Is there a way to know?
negative_passages.docid: 40213
negative_passages.text: Confidence Interval Calculation
negative_passages.docid: 16351
negative_passages.text: Confidence Interval help
negative_passages.docid: 26071
negative_passages.text: How to construct a confidence interval for p-value
negative_passages.docid: 58504
negative_passages.text: Confidence bands for QQ line
negative_passages.docid: 158244
negative_passages.text: Understanding Bayesian Predictive Distributions
negative_passages.docid: 158443
negative_passages.text: How to show that an estimator is consistent?
negative_passages.docid: 136530
negative_passages.text: Calculation of Relative Risk Confidence Interval
negative_passages.docid: 57100
negative_passages.text: Probability and expectancy problem
negative_passages.docid: 58845
negative_passages.text: Neural networks output probability estimates?
negative_passages.docid: 129035
negative_passages.text: Confidence interval in U(0, $\theta$)
negative_passages.docid: 87364
negative_passages.text: Finding precision of Monte Carlo simulation estimate
negative_passages.docid: 139734
negative_passages.text: Choosing between uninformative beta priors
negative_passages.docid: 14778
negative_passages.text: Derivation of uncertainty propagation?
negative_passages.docid: 121031
negative_passages.text: What's the accuracy of data obtained through a random sample?
negative_passages.docid: 127883
negative_passages.text: making predictions with log-log regression model
negative_passages.docid: 15676
negative_passages.text: If N Bayesians estimate the probability of something, how do you aggregate their estimations?