modified: docs/index.html

	modified:   dsm/__init__.py

docs/index.html

@@ -105,8 +105,9 @@ <h2 id="deep-cox-mixtures">Deep Cox Mixtures</h2>
 <a href="https://arxiv.org/abs/2101.06536">Deep Cox Mixtures
 for Survival Regression. Machine Learning in Health Conference (2021)</a></p>
 <p>The Deep Cox Mixture involves the assumption that the survival function
-of the individual to be a mixture of K Cox Models. Conditioned on each
-subgroup Z=k; the PH assumptions are assumed to hold and the baseline
+of the individual to be a mixture of <span><span class="MathJax_Preview"> K </span><script type="math/tex"> K </script></span>
+Cox Models. Conditioned on each
+subgroup <span><span class="MathJax_Preview"> Z=k </span><script type="math/tex"> Z=k </script></span> ; the PH assumptions are assumed to hold and the baseline
 hazard rates is determined non-parametrically using an spline-interpolated
 Breslow's estimator.</p>
 <h2 id="references">References</h2>

dsm/__init__.py

@@ -123,8 +123,8 @@
 for Survival Regression. Machine Learning in Health Conference (2021)</a>
 
 The Deep Cox Mixture involves the assumption that the survival function
-of the individual to be a mixture of K Cox Models. Conditioned on each
-subgroup Z=k; the PH assumptions are assumed to hold and the baseline
+of the individual to be a mixture of \( K \)  Cox Models. Conditioned on each
+subgroup \( Z=k \) ; the PH assumptions are assumed to hold and the baseline
 hazard rates is determined non-parametrically using an spline-interpolated
 Breslow's estimator.