Add to ORKGVarious relationships are shown hold between monotonic effects and weak monotonic effects and the monotonicity of certain conditional expectations. This relationship is considered for both binary and non-binary variables. Counterexamples are provide to show that the results do not hold under less restrictive conditions. The ideas of monotonic effects are furthermore used to relate signed edges on a directed acyclic graph to qualitative effect modification
In the linear regression quantile model, the conditional quantile of the response, Y, given x is QY|...
A hint is any piece of side information about the target function to be learned. We consider the mon...
In A qualitative belief network, dependences between variables are indicated by qual-itative signs T...
Various relationships are shown hold between monotonic effects and weak monotonic effects and the mo...
Problem statement: When analyzing random variables it was useful to measure the degree of their mono...
This article proposes an omnibus test for monotonicity of nonparametric conditional distributions a...
Instrumental variables (IVs) are commonly used to estimate the effects of some treatments. A valid I...
Abstract: Problem statement: When analyzing random variables it was useful to measure the degree of ...
This article proposes a nonparametric test of monotonicity for conditional distributions and its mom...
AbstractIn this paper we present a systematic study of abductive consequence relations. We show that...
Manski (1997) and Manski and Pepper (2000) gave sharp bounds on causal effects under the assumptions...
Monotonicity is an important type of dependence of random variables. The paper reviews the definitio...
Ordinal predictors are commonly used in regression models. They are often incorrectly treated as eit...
This thesis describes a number of new data mining algorithms which were the result of our research i...
Suppose that we are interested in the average causal effect of a binary treatment on an outcome when...
In the linear regression quantile model, the conditional quantile of the response, Y, given x is QY|...
A hint is any piece of side information about the target function to be learned. We consider the mon...
In A qualitative belief network, dependences between variables are indicated by qual-itative signs T...
Various relationships are shown hold between monotonic effects and weak monotonic effects and the mo...
Problem statement: When analyzing random variables it was useful to measure the degree of their mono...
This article proposes an omnibus test for monotonicity of nonparametric conditional distributions a...
Instrumental variables (IVs) are commonly used to estimate the effects of some treatments. A valid I...
Abstract: Problem statement: When analyzing random variables it was useful to measure the degree of ...
This article proposes a nonparametric test of monotonicity for conditional distributions and its mom...
AbstractIn this paper we present a systematic study of abductive consequence relations. We show that...
Manski (1997) and Manski and Pepper (2000) gave sharp bounds on causal effects under the assumptions...
Monotonicity is an important type of dependence of random variables. The paper reviews the definitio...
Ordinal predictors are commonly used in regression models. They are often incorrectly treated as eit...
This thesis describes a number of new data mining algorithms which were the result of our research i...
Suppose that we are interested in the average causal effect of a binary treatment on an outcome when...
In the linear regression quantile model, the conditional quantile of the response, Y, given x is QY|...
A hint is any piece of side information about the target function to be learned. We consider the mon...
In A qualitative belief network, dependences between variables are indicated by qual-itative signs T...